{"id":"W2936916478","doi":"10.36834/cmej.67950","title":"Reviewer Acknowledgement 2018","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01824226,0.00121475,0.0021613,0.006022676,0.005198926,0.01027698,0.003058874,0.01460348,0.1519314],"category_scores_gemma":[0.2631574,0.0007855113,0.002218092,0.00253498,0.002463988,0.004936055,0.004575645,0.01274088,0.08713778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006029911,"about_ca_system_score_gemma":0.01084201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113526,"about_ca_topic_score_gemma":0.01997084,"domain_scores_codex":[0.9780598,0.004393016,0.002413848,0.002046995,0.01156202,0.001524266],"domain_scores_gemma":[0.7159461,0.02613403,0.007908775,0.005023737,0.2349992,0.009988022],"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":[0.00000582118,0.000001116766,0.00003142746,0.00004529998,0.000001255005,0.0000227893,0.0000213091,0.000002923851,0.000008842604,0.0001368948,0.9984296,0.001292623],"study_design_scores_gemma":[0.0000253635,0.000007232127,0.0003312856,0.0004684948,0.00001232446,0.0001256511,0.0002476999,0.00004971448,0.00005537722,0.000650156,0.9980028,0.00002385486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001251663,0.001325043,0.0004229199,0.3557026,0.6300267,0.0001235218,0.0007923807,0.0003635625,0.01111815],"genre_scores_gemma":[0.004885438,0.00248093,0.001113475,0.4831265,0.2967859,0.0008766784,0.00165436,0.001087329,0.2079896],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1519314,"threshold_uncertainty_score":0.5082611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523868405968919,"score_gpt":0.2380511658068102,"score_spread":0.2128124817471211,"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."}}