{"id":"W4388454791","doi":"10.1177/08465371231209257","title":"CARJ Outstanding Reviewers Awards for 2023","year":2023,"lang":"en","type":"editorial","venue":"Canadian Association of Radiologists Journal","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Medical physics; Library science; Family medicine; Medical education","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02144575,0.003377102,0.004085198,0.009029226,0.004834041,0.01803219,0.00529875,0.02085797,0.09867906],"category_scores_gemma":[0.1046479,0.001486317,0.003668367,0.002703065,0.002677949,0.003797867,0.003450786,0.01303188,0.06166536],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008911418,"about_ca_system_score_gemma":0.01810379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008796765,"about_ca_topic_score_gemma":0.03689079,"domain_scores_codex":[0.9755158,0.002301852,0.002137019,0.001486391,0.01624706,0.002311832],"domain_scores_gemma":[0.8276032,0.01494124,0.005024104,0.003049305,0.1204396,0.02894256],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001077341,0.000003920854,0.00001129168,0.00004214459,0.000004405208,0.00003390116,0.000003306145,0.000006228848,0.000008987951,0.0001438868,0.9974403,0.002290785],"study_design_scores_gemma":[0.00005957247,0.00001266506,0.0001258718,0.0002106192,0.00002162074,0.0001102833,0.00003318409,0.00007242861,0.00003686746,0.0007986497,0.9984994,0.00001881665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002132729,0.001570135,0.00008073499,0.02995737,0.9647043,0.00003437273,0.00008743289,0.00006310932,0.00348118],"genre_scores_gemma":[0.000565592,0.002818957,0.000302436,0.02040676,0.9329426,0.00005936367,0.0001730007,0.0001476164,0.04258361],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9910886,"threshold_uncertainty_score":0.3301144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842369575683132,"score_gpt":0.4146294731598705,"score_spread":0.3303925155915572,"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."}}