{"id":"W2977649215","doi":"10.1017/cem.2019.414","title":"Filling the gaps","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Content (measure theory); Action (physics); World Wide Web; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02998671,0.001175101,0.001994822,0.004432967,0.006949115,0.01535349,0.004200466,0.0128472,0.08520108],"category_scores_gemma":[0.08054645,0.0008318718,0.001244852,0.002609007,0.01028423,0.02184038,0.01606557,0.01784518,0.02210151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008878964,"about_ca_system_score_gemma":0.06009974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02752226,"about_ca_topic_score_gemma":0.05689168,"domain_scores_codex":[0.9864488,0.004007152,0.00117253,0.001432999,0.004113071,0.002825363],"domain_scores_gemma":[0.8821371,0.03786291,0.003222975,0.00601548,0.03245974,0.03830179],"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":[0.00004940849,0.00008970225,0.0009462063,0.0009392682,0.00004174093,0.0002491261,0.001658244,0.0000812846,0.0001703247,0.03705376,0.8417046,0.1170164],"study_design_scores_gemma":[0.00001480001,0.00002021055,0.001127256,0.003253797,0.0000180328,0.0002289569,0.00459345,0.00008001176,0.00006472775,0.02586354,0.964703,0.00003232576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005645679,0.04584266,0.001036514,0.909586,0.03220453,0.00002481083,0.0002594606,0.0001041436,0.01037749],"genre_scores_gemma":[0.03319659,0.1434513,0.009694089,0.7152243,0.0642361,0.0002414768,0.001260985,0.000342773,0.03235239],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08520108,"threshold_uncertainty_score":0.285026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07765629234618443,"score_gpt":0.2925316253741512,"score_spread":0.2148753330279668,"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."}}