{"id":"W2553188579","doi":"","title":"","year":2016,"lang":"fr","type":"article","venue":"PubMed","topic":"Global Health and Surgery","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003449295,0.0004207459,0.0008453104,0.0001923319,0.0001731696,0.00002817738,0.000202282,0.0004561369,0.0001839754],"category_scores_gemma":[0.004511206,0.0002721549,0.0003453084,0.0005454326,0.0005325418,0.0005051126,0.0001047682,0.0002754042,0.0004263657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152924,"about_ca_system_score_gemma":0.00041128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005918549,"about_ca_topic_score_gemma":0.00008015416,"domain_scores_codex":[0.9913356,0.0003738055,0.001017675,0.0007306344,0.0007057224,0.005836518],"domain_scores_gemma":[0.9922845,0.001358672,0.0001977463,0.0007881111,0.0002455827,0.00512542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008440051,0.0003199253,0.3199352,0.0004635481,0.00007572111,0.0006581636,0.00004724707,1.314738e-7,0.00002609192,0.004573999,0.01901804,0.6540379],"study_design_scores_gemma":[0.003864902,0.00008001486,0.6571712,0.0005116486,0.0001185064,0.0002976219,0.00005928253,0.000002000783,0.0003847474,0.0009636136,0.336311,0.000235399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615949,0.08243363,0.0003541893,0.3269169,0.02103047,0.00242514,0.0001004174,0.0001540333,0.004990299],"genre_scores_gemma":[0.910166,0.008218888,0.00005700899,0.01589993,0.005575784,0.003662981,0.000003960048,0.00004426354,0.05637117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6538025,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012853446337086,"score_gpt":0.2583902338387933,"score_spread":0.2282616993754224,"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."}}