{"id":"W4388460451","doi":"10.1177/08465371231209261","title":"A Note of Thanks to 2023 CARJ Reviewers","year":2023,"lang":"en","type":"editorial","venue":"Canadian Association of Radiologists Journal","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine","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":[0.01573377,0.00250101,0.003648222,0.00837879,0.005093575,0.01300285,0.002972496,0.012761,0.03336023],"category_scores_gemma":[0.1219031,0.001178412,0.002456342,0.003133495,0.001958837,0.0043021,0.001968445,0.01486641,0.02613083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397004,"about_ca_system_score_gemma":0.01386956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019428,"about_ca_topic_score_gemma":0.06551666,"domain_scores_codex":[0.9846044,0.002215876,0.001777644,0.001417644,0.009055405,0.0009290436],"domain_scores_gemma":[0.787156,0.03025212,0.007135335,0.002964473,0.1564517,0.0160404],"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":[0.000009121332,0.00000201734,0.00001889312,0.00005021597,0.000003696644,0.00003960403,0.00000941258,0.000006813208,0.000009642282,0.00006960769,0.9984668,0.001314124],"study_design_scores_gemma":[0.00002324131,0.000006430526,0.0002133718,0.0002551574,0.00002115193,0.0001392418,0.00007304786,0.00005841756,0.00002968391,0.0004282561,0.9987318,0.00002018726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002581172,0.00340572,0.00007628349,0.0620637,0.931941,0.00002894381,0.0001473615,0.00005106045,0.002260133],"genre_scores_gemma":[0.0007890927,0.003413435,0.0002611552,0.0536565,0.914947,0.00008485868,0.000143532,0.0001829579,0.02652149],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03336023,"threshold_uncertainty_score":0.1116011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120955739968529,"score_gpt":0.2586540096382483,"score_spread":0.237444452238563,"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."}}