{"id":"W4400856292","doi":"10.1002/jum.16524","title":"Interpretation of Artificial Intelligence Models in Healthcare","year":2024,"lang":"en","type":"review","venue":"Journal of Ultrasound in Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Interpretation (philosophy); Health care; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002608253,0.0003254783,0.002687262,0.002048413,0.00001716264,0.0000115059,0.0002440857,0.0004145291,0.00007821728],"category_scores_gemma":[0.002477552,0.0002205808,0.0003520102,0.001494636,0.0002026495,0.0001799063,0.00001856917,0.001815009,0.00001696524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007021851,"about_ca_system_score_gemma":0.001598779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007938334,"about_ca_topic_score_gemma":0.0002417883,"domain_scores_codex":[0.9940021,0.0002772041,0.00451341,0.0002816077,0.0006259673,0.0002997016],"domain_scores_gemma":[0.99622,0.001508214,0.001298849,0.0002750741,0.0005053088,0.0001925823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001277264,0.0001633633,0.00005278724,0.02465591,0.00006375495,0.00009810968,0.004058905,0.0000653064,0.000005880321,0.0013335,0.0003825551,0.9689922],"study_design_scores_gemma":[0.0001536782,0.005640583,0.00003682628,0.7017676,0.003483322,0.004227619,0.01477883,0.003407799,0.00008165976,0.1660195,0.09967398,0.0007286206],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005353846,0.9925137,0.001919626,0.002138926,0.002080649,0.0006367558,0.000006072266,0.000007145484,0.0001618049],"genre_scores_gemma":[0.04181945,0.956367,0.0004732239,0.0001606082,0.001059036,0.00001593662,0.00003133165,0.0000410046,0.00003242734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9682636,"threshold_uncertainty_score":0.8995023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2727189202963081,"score_gpt":0.5074987815758476,"score_spread":0.2347798612795395,"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."}}