{"id":"W4311276420","doi":"10.1016/j.cll.2022.09.004","title":"Clinical Artificial Intelligence","year":2022,"lang":"en","type":"review","venue":"Clinics in Laboratory Medicine","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"U.S. National Library of Medicine; National Institutes of Health; International Business Machines Corporation","keywords":"Computer science; Artificial intelligence; Process (computing); Key (lock); Clinical decision support system; Decision support system","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01394609,0.0005838474,0.003237982,0.0006824815,0.0001768724,0.00004347057,0.004042414,0.0006807677,0.0008337238],"category_scores_gemma":[0.01121121,0.0004912861,0.0003427035,0.00374512,0.0004148862,0.0001558171,0.001213576,0.005875263,0.0002563175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325717,"about_ca_system_score_gemma":0.002611609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103999,"about_ca_topic_score_gemma":0.00002205658,"domain_scores_codex":[0.9879716,0.004368242,0.004558244,0.001589192,0.0008974067,0.0006153302],"domain_scores_gemma":[0.9860601,0.009295929,0.001529083,0.002574965,0.0001719294,0.0003679646],"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":[0.000002380445,0.0000883395,0.0000948965,0.003107192,0.0000206947,0.0002304582,0.0001435664,0.000005932811,9.239351e-10,0.03983892,0.0009010384,0.9555666],"study_design_scores_gemma":[0.00006779881,0.0004435595,0.000009378663,0.004523945,0.0000677928,0.00001448077,0.00004554047,0.001192254,6.5695e-9,0.003781976,0.9894528,0.0004004479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001034254,0.9794276,0.006876003,0.0007630262,0.01114071,0.0007493472,0.00002118489,0.0002454893,0.0007755374],"genre_scores_gemma":[0.000002976534,0.9919313,0.004393418,0.001311934,0.001996808,0.0001652944,0.00005788968,0.00006957375,0.00007080172],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9885518,"threshold_uncertainty_score":0.9997539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2825975477447819,"score_gpt":0.5295012547514392,"score_spread":0.2469037070066573,"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."}}