{"id":"W4220903674","doi":"10.1503/cmaj.220142","title":"N.N.","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004241914,0.0007959218,0.0004631683,0.0005045384,0.005477812,0.00251807,0.001250143,0.00241293,0.854973],"category_scores_gemma":[0.00196206,0.000507594,0.0003955543,0.0002997846,0.0005090737,0.002957006,0.003119175,0.002743478,0.7214859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464307,"about_ca_system_score_gemma":0.002264358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0376155,"about_ca_topic_score_gemma":0.08235571,"domain_scores_codex":[0.9996009,0.00003567352,0.00001189348,0.00008566264,0.0001259027,0.000139888],"domain_scores_gemma":[0.9988052,0.00003155644,0.00003228106,0.00004754716,0.0005971584,0.0004862959],"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":[0.00001137897,0.00001019749,0.0001347191,0.00002105333,5.865539e-7,0.00004612573,0.0001148286,0.000004749309,0.00005072379,0.0007714837,0.9879942,0.01083998],"study_design_scores_gemma":[0.000003887207,0.000004145596,0.0002589828,0.00003697859,7.408972e-7,0.00005660188,0.0003625441,0.000006963668,0.000034521,0.0001788977,0.9990519,0.000003774616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008638599,0.0003475489,0.0004266286,0.01144652,0.004574124,0.0001697481,0.002807433,0.001283609,0.9780806],"genre_scores_gemma":[0.001867672,0.0002041766,0.0002452708,0.006230283,0.0001550002,0.00008279969,0.0007944133,0.0004068709,0.9900136],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.145027,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083216877776554,"score_gpt":0.2836251741023968,"score_spread":0.2727930053246313,"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."}}