{"id":"W2932613184","doi":"10.3389/fendo.2019.00185","title":"Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era","year":2019,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Endocrinology; Internal medicine; Medicine","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":[0.004359269,0.0005820747,0.001179497,0.001394685,0.0007866207,0.004480106,0.0009150487,0.006386351,0.01086039],"category_scores_gemma":[0.005910026,0.0002715173,0.0005617488,0.0007494518,0.004365809,0.004569147,0.001838464,0.007570474,0.002423564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942972,"about_ca_system_score_gemma":0.002365241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341431,"about_ca_topic_score_gemma":0.002630121,"domain_scores_codex":[0.9990146,0.0003951152,0.00005786369,0.00011938,0.0003171205,0.00009586834],"domain_scores_gemma":[0.9921822,0.005595771,0.000270392,0.0002042199,0.0009722712,0.000775218],"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":[0.0002251492,0.0001359902,0.0009873053,0.002380568,0.0001261847,0.0004564106,0.0005487373,0.0008139969,0.00145336,0.1249815,0.3676897,0.5002011],"study_design_scores_gemma":[0.00005861642,0.0001101567,0.002021935,0.002125197,0.00004994215,0.0007246219,0.0008334455,0.001539847,0.0003901883,0.2471936,0.7448943,0.0000580886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001384014,0.6227145,0.003948196,0.3399895,0.0190335,0.00001362064,0.00009215593,0.0001093534,0.01271518],"genre_scores_gemma":[0.03698782,0.7808907,0.007559897,0.06309828,0.0978071,0.00005569979,0.000126595,0.00009369989,0.01338028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01086039,"threshold_uncertainty_score":0.03633159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08239219369568819,"score_gpt":0.3463550974480517,"score_spread":0.2639629037523635,"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."}}