{"id":"W1590457913","doi":"10.1080/17521742.2012.713757","title":"What do Canadian Journal Editors Want from Peer Review?","year":2012,"lang":"en","type":"article","venue":"Editors Bulletin","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Library science; Round table; Table (database); Political science; Media studies; Sociology; Computer science; World Wide Web; Session (web analytics); Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","insufficient_payload"],"category_scores_codex":[0.04482911,0.0002451858,0.0004498769,0.01989642,0.0007255346,0.008591946,0.00301957,0.0002466729,0.04156062],"category_scores_gemma":[0.1108344,0.0001633686,0.0002827026,0.04278239,0.0002054686,0.001256437,0.0003282866,0.0009203457,0.01440566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213655,"about_ca_system_score_gemma":0.0007852106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989467,"about_ca_topic_score_gemma":0.0003099484,"domain_scores_codex":[0.9796602,0.000454825,0.0009425933,0.000571922,0.01689608,0.001474384],"domain_scores_gemma":[0.9821947,0.004526888,0.0004248617,0.001080827,0.007799051,0.003973707],"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":[0.000002365785,0.00003350317,0.02540547,0.000003368939,0.00001065166,0.00001929604,0.000202723,7.804026e-7,0.000008717353,0.00001086895,0.9532314,0.02107084],"study_design_scores_gemma":[0.0001569138,0.00003712492,0.01436396,0.0001430558,0.00001037757,0.00001437426,0.0007834242,0.000005977988,0.00006212526,0.0005291612,0.9836682,0.000225278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01560185,0.08682151,0.0001960028,0.1547888,0.7365664,0.0003472808,0.0001200713,0.00002964043,0.005528457],"genre_scores_gemma":[0.1392271,0.0162099,0.001382795,0.00354119,0.8078017,0.00002850458,0.00004703727,0.00006852052,0.03169333],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1512476,"threshold_uncertainty_score":0.9996231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3245269501362181,"score_gpt":0.5029702531478972,"score_spread":0.1784433030116792,"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."}}