{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006636612,0.00006443981,0.00006830705,0.00007098417,0.0001153811,0.00003302438,0.0002158831,0.0002914823,0.002532352],"category_scores_gemma":[0.001553535,0.00004280384,0.00005769379,0.00006258475,0.00003058343,0.000004887684,0.00002139511,0.0001846966,0.0003883287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651133,"about_ca_system_score_gemma":0.001664558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002109241,"about_ca_topic_score_gemma":0.007978208,"domain_scores_codex":[0.9985243,0.0001046484,0.0001601093,0.0001193259,0.0007017785,0.0003898412],"domain_scores_gemma":[0.9983955,0.00003365029,0.00005748945,0.00009249424,0.0002248705,0.001196021],"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":[0.00001866968,0.00001763816,0.06636639,0.00000325868,0.0001284308,0.0001697254,0.00002500344,2.487082e-7,0.06825894,0.0006502785,0.8275002,0.03686124],"study_design_scores_gemma":[0.000479086,0.00006592358,0.01430567,0.00001993076,0.0000019332,0.0001213575,0.000009317614,0.000001501883,0.006627342,0.00009183919,0.9781928,0.00008326918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920711,0.0001951287,0.0006851616,0.09635504,0.0009465329,0.00009148621,0.00003998983,0.00001127019,0.009604251],"genre_scores_gemma":[0.9909031,0.0001686854,0.00005614307,0.002348368,0.001992177,0.000002681486,0.000005234988,0.0000137019,0.004509937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1506926,"threshold_uncertainty_score":0.9983795,"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."}}