{"id":"W3099052861","doi":"10.1101/400515","title":"Author-Reviewer Homophily in Peer Review","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Homophily; Confounding; Demographics; Logistic regression; Demography; Psychology; Medicine; Demographic economics; Social psychology; Sociology; Economics","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.07979623,0.0001966268,0.0009168346,0.003324111,0.001984991,0.004042556,0.001284342,0.0008451524,0.007188365],"category_scores_gemma":[0.3225831,0.0003538201,0.0006640036,0.003261581,0.002830777,0.003159028,0.00352486,0.001200704,0.0007808767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511438,"about_ca_system_score_gemma":0.002681144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353775,"about_ca_topic_score_gemma":0.003500109,"domain_scores_codex":[0.8402715,0.1077797,0.01440534,0.01185287,0.02191998,0.003770557],"domain_scores_gemma":[0.3817059,0.4077106,0.134524,0.03954465,0.02720088,0.009313943],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003522913,0.000126675,0.9453762,0.0004919909,0.0007698569,0.0002554356,0.01021806,0.0004189857,0.0003771693,0.003677343,0.00255004,0.03538606],"study_design_scores_gemma":[0.00005322566,0.0002732833,0.972028,0.0004343164,0.0002341608,0.0009139305,0.006719524,0.00214715,0.0008859238,0.008297271,0.007923509,0.0000897151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622918,0.004950678,0.01267561,0.003914287,0.0003407933,0.0002885498,0.0007242786,0.0001114178,0.01470258],"genre_scores_gemma":[0.9983979,0.0001866952,0.0006206983,0.0001439609,0.0001062482,0.00003091523,0.00006272279,0.00001483756,0.0004359281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9966759,"threshold_uncertainty_score":0.4220079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3638006359188167,"score_gpt":0.4836889474673257,"score_spread":0.119888311548509,"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."}}