{"id":"W2576404523","doi":"10.1016/j.metabol.2017.01.011","title":"Artificial intelligence in medicine","year":2017,"lang":"en","type":"review","venue":"Metabolism","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2264,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Canada Research Chairs","keywords":"Artificial intelligence; Psychology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001001053,0.0009644121,0.001538319,0.002394083,0.0003390649,0.002479025,0.0007261428,0.002002578,0.008172821],"category_scores_gemma":[0.002898506,0.0002936798,0.0004897182,0.00271939,0.001465783,0.002451814,0.001338876,0.003359908,0.003204496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009541051,"about_ca_system_score_gemma":0.002245255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975469,"about_ca_topic_score_gemma":0.00210487,"domain_scores_codex":[0.9995616,0.0001344052,0.0000562122,0.00006145083,0.0001527015,0.00003346298],"domain_scores_gemma":[0.9985629,0.0009026877,0.0001578513,0.00005444407,0.0002331306,0.0000890508],"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":[0.00004009944,0.00006908049,0.0002196521,0.01170468,0.0001122079,0.0001036699,0.00007995065,0.0003149595,0.0003128413,0.01182391,0.07274304,0.9024759],"study_design_scores_gemma":[0.0000226693,0.00005107739,0.0007198611,0.007930752,0.0001289147,0.000653087,0.0000729696,0.0001890993,0.0001452684,0.01641901,0.973648,0.00001925428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009985984,0.9918845,0.0004176787,0.002337176,0.001370107,0.000008382111,0.00001612848,0.00001234165,0.003853926],"genre_scores_gemma":[0.001747553,0.9913192,0.0004999359,0.00186882,0.00242973,0.00001469098,0.0000291611,0.000004253925,0.002086694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008172821,"threshold_uncertainty_score":0.02734077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2852630538584888,"score_gpt":0.4834985585208236,"score_spread":0.1982355046623349,"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."}}