{"id":"W7096591565","doi":"","title":"3Department of Clinical Biochemistry, University Health Network and Toronto Medical Laboratories, Toronto","year":2014,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","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":[0.0013806,0.001993624,0.001703332,0.002594022,0.003465771,0.002691582,0.003131357,0.002699391,0.1835532],"category_scores_gemma":[0.005097878,0.001117791,0.001092143,0.00188998,0.001212019,0.0008194462,0.001374948,0.002560932,0.03476394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01880098,"about_ca_system_score_gemma":0.01568561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2054741,"about_ca_topic_score_gemma":0.4341601,"domain_scores_codex":[0.9979201,0.0003423649,0.000103312,0.0006414886,0.0004856815,0.0005071472],"domain_scores_gemma":[0.9906703,0.001095941,0.0003444567,0.0004722267,0.003276514,0.004140541],"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":[0.009551902,0.0009220745,0.07852544,0.004742383,0.0005500027,0.01511562,0.003469484,0.003351268,0.03047374,0.01752966,0.6268986,0.2088698],"study_design_scores_gemma":[0.001950062,0.001461491,0.2139485,0.002145172,0.0005849867,0.005497583,0.001897145,0.004184064,0.01865498,0.006708332,0.7426464,0.0003213641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1410624,0.07966623,0.02380187,0.1128685,0.01840259,0.003919329,0.1252791,0.007346541,0.4876535],"genre_scores_gemma":[0.3255122,0.02993878,0.03977165,0.01487915,0.004457807,0.001918062,0.02400492,0.002122189,0.5573952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8164468,"threshold_uncertainty_score":0.6140466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548469038777481,"score_gpt":0.3256366292632346,"score_spread":0.3101519388754598,"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."}}