{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290124,0.0006769393,0.0009012432,0.001885474,0.0003963866,0.002323537,0.0008195739,0.001936497,0.006350164],"category_scores_gemma":[0.002050526,0.0002447685,0.0007070454,0.001825806,0.001744849,0.002714384,0.001627796,0.003087085,0.001513574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558989,"about_ca_system_score_gemma":0.001724202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911437,"about_ca_topic_score_gemma":0.002480577,"domain_scores_codex":[0.9994217,0.0002510148,0.00005413133,0.00007656089,0.0001589563,0.00003775705],"domain_scores_gemma":[0.9989328,0.0007794662,0.00006560237,0.00003879191,0.0001422043,0.00004120652],"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":[0.00003876533,0.00005471178,0.0002475813,0.0132831,0.0001453818,0.0001293669,0.0002065367,0.0007113507,0.0004755059,0.06040386,0.04159775,0.882706],"study_design_scores_gemma":[0.00001224238,0.00005016747,0.0008987046,0.007810443,0.00008005675,0.000868411,0.0001379676,0.0002829253,0.0002421656,0.03354419,0.9560456,0.0000270911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001676976,0.9910809,0.0008639427,0.002215115,0.0003572298,0.00001067916,0.0000223681,0.00001446575,0.005267725],"genre_scores_gemma":[0.004971338,0.9895281,0.001081528,0.002305491,0.0006780791,0.00002661011,0.00004215126,0.00000666247,0.00136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006350164,"threshold_uncertainty_score":0.02124339,"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."}}