{"id":"W4251794441","doi":"10.1503/cmaj.161186","title":"Highlights","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.001421083,0.0007102587,0.0004098788,0.0009947186,0.001481526,0.004333061,0.001772361,0.002353038,0.4360394],"category_scores_gemma":[0.003721173,0.0002124765,0.0005723346,0.0008027075,0.0005684188,0.001222501,0.001907491,0.002122481,0.1872266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003576634,"about_ca_system_score_gemma":0.009780638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628603,"about_ca_topic_score_gemma":0.02270752,"domain_scores_codex":[0.9986363,0.0001404676,0.00004571339,0.0002326877,0.0006990282,0.0002457405],"domain_scores_gemma":[0.9962972,0.0001880485,0.0001541048,0.0001291199,0.001681476,0.001549972],"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":[0.00004588706,0.00001946182,0.0007528921,0.0001796181,0.000007657856,0.0001922106,0.00003447957,0.00004034436,0.0002893858,0.002985385,0.9180816,0.07737116],"study_design_scores_gemma":[0.0000124831,0.00001300388,0.000871964,0.0001413525,0.000005699283,0.0003958204,0.00007043722,0.00002593173,0.0001407154,0.0008533066,0.9974649,0.000004431559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00364678,0.0235511,0.003855437,0.190742,0.09387198,0.0005634662,0.01751155,0.001715569,0.6645422],"genre_scores_gemma":[0.02460035,0.02106028,0.003014924,0.05188879,0.04458484,0.000210306,0.01422782,0.0005805893,0.8398321],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4360394,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005454394184579675,"score_gpt":0.2348815918099804,"score_spread":0.2294271976254007,"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."}}