{"id":"W4295025017","doi":"10.1016/j.media.2022.102608","title":"Focused Attention in Transformers for interpretable classification of retinal images","year":2022,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Polytechnique Montréal","funders":"","keywords":"Interpretability; Computer science; Artificial intelligence; Transformer; Convolutional neural network; Pattern recognition (psychology); Machine learning; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008760418,0.0006559688,0.0006029489,0.001008954,0.0004447421,0.001621101,0.001013872,0.0006521195,0.004790252],"category_scores_gemma":[0.004738912,0.0002513013,0.0004902404,0.0009344322,0.0006392407,0.001476633,0.001278714,0.0007934936,0.001078287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008008441,"about_ca_system_score_gemma":0.0007204582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759482,"about_ca_topic_score_gemma":0.002141401,"domain_scores_codex":[0.9995109,0.0001207927,0.00003411285,0.0001438384,0.00009975576,0.00009071179],"domain_scores_gemma":[0.9986649,0.0006165126,0.000102157,0.0002436877,0.0002971394,0.0000756326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001690246,0.0001536303,0.004082659,0.000314139,0.00007639826,0.0005526522,0.0004221222,0.02866128,0.1599031,0.07471984,0.005155315,0.7242687],"study_design_scores_gemma":[0.00005595591,0.0003266341,0.004954931,0.00006265038,0.0001209513,0.0006805831,0.0002616419,0.7380612,0.1375349,0.1104642,0.007444335,0.00003204779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06343188,0.0004597811,0.931652,0.0002302501,0.00007662646,0.00006816396,0.0001581809,0.001477815,0.002445312],"genre_scores_gemma":[0.8572808,0.0004637147,0.1379408,0.0001621075,0.00009672902,0.00005727923,0.0003744576,0.0002812969,0.003342717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004790252,"threshold_uncertainty_score":0.01602495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139775278880238,"score_gpt":0.3144463017116677,"score_spread":0.3004687738236438,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}