{"id":"W4401731838","doi":"10.34067/kid.0000000000000556","title":"Multimodal Artificial Intelligence in Medicine","year":2024,"lang":"en","type":"review","venue":"Kidney360","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph; Vector Institute","funders":"Health Research Board","keywords":"Artificial intelligence; Computer science; Health care; Limiting; Deep learning; Data science; Machine learning; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007054696,0.0004658292,0.001843724,0.0008985228,0.00005262735,0.00002901655,0.000215559,0.0005948529,0.0008948005],"category_scores_gemma":[0.001194514,0.0003300177,0.0003376473,0.001305139,0.0001940476,0.00005806772,0.00006024488,0.001317727,0.00379666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905635,"about_ca_system_score_gemma":0.001576234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009486137,"about_ca_topic_score_gemma":0.0001380857,"domain_scores_codex":[0.9966295,0.0001159433,0.001696699,0.0007010147,0.000370988,0.0004857928],"domain_scores_gemma":[0.9984632,0.0002966068,0.0001847263,0.000543203,0.0001121223,0.0004001705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001137576,0.00008907551,0.00000396821,0.01932526,0.00004222423,0.0001231867,0.0007140433,2.602708e-7,4.752218e-7,0.001741663,0.006360355,0.9715881],"study_design_scores_gemma":[0.000007028011,0.0001711165,9.491574e-7,0.04528812,0.0008879124,0.0001298387,0.0004266696,0.0002470813,0.000008760696,0.005025535,0.9475392,0.0002677774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000488345,0.989522,0.000199033,0.003061473,0.003103402,0.001231799,0.00001721912,0.0001170411,0.002743162],"genre_scores_gemma":[0.0001330891,0.9945396,0.0003302731,0.00040668,0.002853101,0.0002164484,0.0002618659,0.00008626483,0.001172709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9713203,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3734496665912106,"score_gpt":0.5341786153403436,"score_spread":0.160728948749133,"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."}}