{"id":"W7099356009","doi":"","title":"3Department of Clinical Biochemistry, University Health Network and Toronto Medical Laboratories, Toronto","year":2015,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; MEDLINE; Digital health; Health care","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":[0.001503419,0.001451877,0.00105686,0.00352489,0.002901942,0.002830549,0.001948035,0.001799698,0.1461711],"category_scores_gemma":[0.007954789,0.0008108543,0.0008896608,0.00345343,0.0009920128,0.001140456,0.001583045,0.001639004,0.022549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01798692,"about_ca_system_score_gemma":0.0188564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2342258,"about_ca_topic_score_gemma":0.4566298,"domain_scores_codex":[0.9981969,0.0002866037,0.0001646989,0.0005614923,0.0004410122,0.0003493045],"domain_scores_gemma":[0.9882449,0.00225689,0.0006575063,0.0007321406,0.004337382,0.00377132],"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":[0.003991404,0.0003792318,0.08098423,0.005221392,0.0003733941,0.009287225,0.003825076,0.002223113,0.01488415,0.01331205,0.5777034,0.2878153],"study_design_scores_gemma":[0.000652412,0.0004375499,0.2070593,0.001576019,0.0005309262,0.004327658,0.002333482,0.004106712,0.0119853,0.006153542,0.7606691,0.0001679883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1608509,0.0859861,0.03527083,0.1149805,0.01185687,0.002972148,0.2144014,0.007623351,0.3660581],"genre_scores_gemma":[0.4013551,0.03288548,0.05020864,0.01363294,0.003908495,0.001660535,0.04756092,0.00257812,0.4462097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8538289,"threshold_uncertainty_score":0.488991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460157114186602,"score_gpt":0.3499278705393366,"score_spread":0.3153262993974706,"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."}}