{"id":"W4248069802","doi":"10.1503/cmaj.180114","title":"Little things","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Adrenal Hormones and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epinephrine; Computer science; World Wide Web; Medicine; Data science; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001803291,0.0009140844,0.0005026358,0.0008632988,0.005065746,0.008074,0.00118466,0.002767226,0.3538505],"category_scores_gemma":[0.01199097,0.0003295427,0.0006322541,0.0007281937,0.00283686,0.006176076,0.004788604,0.004959228,0.2466086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004614,"about_ca_system_score_gemma":0.003111616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007049465,"about_ca_topic_score_gemma":0.0139408,"domain_scores_codex":[0.9974414,0.0005142115,0.000074473,0.0003975156,0.001172381,0.0004000027],"domain_scores_gemma":[0.9940492,0.0004238969,0.000189886,0.0006362651,0.002427717,0.002273142],"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":[0.00002967343,0.00002563279,0.0003798442,0.00007694816,0.000008913964,0.0001295397,0.001059621,0.00001832914,0.0003354857,0.01390173,0.9351299,0.04890446],"study_design_scores_gemma":[0.000002463513,0.000008372339,0.0002238311,0.00005800719,0.00000234999,0.0001137743,0.000765722,0.000007271593,0.00005601532,0.001584027,0.997171,0.000007054144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002563287,0.004683099,0.004012871,0.1336385,0.02707544,0.0001333495,0.0011408,0.001696142,0.8250564],"genre_scores_gemma":[0.01331921,0.002375365,0.001568939,0.05625923,0.002419692,0.00006234489,0.0006635788,0.0007493265,0.9225824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3538505,"threshold_uncertainty_score":0.9216539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006014344653712579,"score_gpt":0.2409952717184519,"score_spread":0.2349809270647393,"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."}}