{"id":"W7098600030","doi":"","title":"ORIGINAL RESEARCH Reliability of Canadian Em","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Guard (computer science); Original research; Reliability (semiconductor); Health care; Emergency department","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":[0.01404735,0.001035878,0.0008741191,0.01141224,0.006409974,0.007777852,0.002088522,0.001284748,0.1364762],"category_scores_gemma":[0.08377386,0.0007238318,0.0007445088,0.0141095,0.002642388,0.002243429,0.00381641,0.001978032,0.02929138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04919978,"about_ca_system_score_gemma":0.143875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9240146,"about_ca_topic_score_gemma":0.9252397,"domain_scores_codex":[0.9823174,0.001871325,0.001158277,0.002849381,0.01015456,0.001649012],"domain_scores_gemma":[0.8249288,0.01096646,0.004510366,0.008088064,0.1452216,0.006284851],"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":[0.0002533209,0.00007414816,0.04713439,0.0006844148,0.00008740597,0.0001318115,0.00246434,0.0005396187,0.0002726714,0.03184377,0.7220887,0.1944254],"study_design_scores_gemma":[0.00003229911,0.00003066528,0.1083044,0.001325103,0.00009290108,0.00007923179,0.002598914,0.0006324621,0.0004954509,0.002404745,0.8839343,0.00006945281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02848877,0.01090628,0.004020201,0.049236,0.007681324,0.0008280069,0.1293533,0.0008494965,0.7686366],"genre_scores_gemma":[0.3795975,0.01093854,0.008678486,0.00869609,0.001606793,0.001044051,0.04976851,0.0007345557,0.5389355],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9240146,"threshold_uncertainty_score":0.4565585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399715969500015,"score_gpt":0.2710595640027995,"score_spread":0.131087967052798,"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."}}