{"id":"W4386565099","doi":"10.1097/01.eem.0000650960.38519.a3","title":"Special Report","year":2020,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowds; Medical diagnosis; Medical school; Family medicine; Medical education; Medicine; Psychology; Computer science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001011744,0.0009744518,0.0007801738,0.001969828,0.001662245,0.004789,0.001977699,0.002983555,0.8392687],"category_scores_gemma":[0.009173786,0.0003839448,0.0008510639,0.001822169,0.0004980526,0.003055656,0.003052725,0.002285294,0.739086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214309,"about_ca_system_score_gemma":0.003257643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00293863,"about_ca_topic_score_gemma":0.003224268,"domain_scores_codex":[0.9987749,0.0001467244,0.0001043981,0.000271498,0.0005192832,0.0001831532],"domain_scores_gemma":[0.9954022,0.0004572454,0.0002261459,0.0006196583,0.001922423,0.001372257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001245151,0.00001003058,0.0001206376,0.00004609379,0.000001322303,0.00005494495,0.00001000881,0.000008148601,0.00002715711,0.0006360904,0.9773965,0.02167668],"study_design_scores_gemma":[0.000008468883,0.000006970526,0.0002928825,0.00007509912,0.000001474582,0.0001585305,0.00003193125,0.00001687053,0.00003056759,0.0004345055,0.9989397,0.000003061475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000729116,0.00189245,0.001230327,0.01508693,0.03816694,0.0004721672,0.01887084,0.003064533,0.9204866],"genre_scores_gemma":[0.004386132,0.002155012,0.0008678087,0.006869353,0.007229688,0.0002373208,0.0115065,0.001084999,0.9656631],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8392687,"threshold_uncertainty_score":0.2292637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3228046853639396,"score_gpt":0.4735897329142911,"score_spread":0.1507850475503515,"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."}}