docs: def probes_used_extract_scores(full_scores, same_probes):
    """Extracts a matrix of scores for a model, given a probes_used row vector of boolean"""
    if full_scores.shape[1] != same_probes.shape[0]: raise "Size mismatch"
    import numpy as np
    model_scores = np.ndarray((full_scores.shape[0],np.sum(same_probes)), 'float64')
    c=0
    for i in range(0,full_scores.shape[1]):
      if same_probes[i]:
        for j in range(0,full_scores.shape[0]):
          model_scores[j,c] = full_scores[j,i]
        c+=1
    return model_scores