{"id":"W4231324265","doi":"10.31235/osf.io/nzsp5","title":"Trends in Peer Review","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Legitimacy; Inefficiency; Public relations; Peer review; Political science; Adaptability; Publication; Corporate governance; Space (punctuation); Politics; Diversity (politics); Publishing; Business; Computer science; Economics; Law; Management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01936458,0.0002155476,0.0008335966,0.000659956,0.00003409696,0.002740646,0.005120861,0.0004748186,0.02112175],"category_scores_gemma":[0.02618546,0.0001423337,0.000296937,0.002090092,0.00003818551,0.0008751061,0.004257706,0.00191445,0.0002813954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007164825,"about_ca_system_score_gemma":0.0002761076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005815844,"about_ca_topic_score_gemma":0.0003797027,"domain_scores_codex":[0.9924119,0.0004699706,0.001270826,0.001117038,0.004454059,0.0002762093],"domain_scores_gemma":[0.996228,0.0005912465,0.0003894769,0.001497369,0.001160524,0.0001333222],"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":[6.486175e-7,0.00001185497,0.003099068,0.00002958689,0.000003826144,0.00001615503,0.00008661377,0.00002191636,2.093685e-7,0.0001776624,0.7897063,0.2068461],"study_design_scores_gemma":[0.0001219068,0.000003299005,0.02467599,0.002089053,0.00001641258,0.00001012018,0.0004020229,0.0004518094,0.00001220553,0.01250194,0.9593204,0.0003948145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004578643,0.0331638,0.0007056344,0.1579925,0.002125218,0.0001652476,0.00002266476,0.00006231298,0.801184],"genre_scores_gemma":[0.1247251,0.00676577,0.001940375,0.0189065,0.000361417,0.00006432382,0.0003044804,0.00002467948,0.8469074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2064513,"threshold_uncertainty_score":0.9982946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.259839992176097,"score_gpt":0.5031915630237829,"score_spread":0.2433515708476859,"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."}}