{"id":"W3120916333","doi":"10.1002/asi.24582","title":"Does double‐blind peer review reduce bias? Evidence from a top computer science conference","year":2021,"lang":"en","type":"preprint","venue":"Journal of the Association for Information Science and Technology","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction","keywords":"Prestige; Double blind; Peer review; Quality (philosophy); Publication bias; Psychology; Limiting; Computer science; MEDLINE; Political science; Medicine; Alternative medicine; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.457612,0.001402417,0.00409787,0.005957857,0.003610458,0.01184516,0.005079931,0.006053091,0.01338967],"category_scores_gemma":[0.8494596,0.001605552,0.006144652,0.008175381,0.00826542,0.01077434,0.006110386,0.004694982,0.002624244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004822521,"about_ca_system_score_gemma":0.01228343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840416,"about_ca_topic_score_gemma":0.003116398,"domain_scores_codex":[0.3342925,0.4853662,0.06726262,0.01832241,0.09077095,0.003985302],"domain_scores_gemma":[0.04602125,0.6777242,0.1161992,0.06983262,0.08689992,0.003322953],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03815552,0.001826692,0.1016469,0.127648,0.0540485,0.0004254458,0.01412358,0.002088937,0.003537581,0.01550449,0.0417032,0.5992911],"study_design_scores_gemma":[0.02812474,0.01839694,0.3275906,0.1389453,0.06832369,0.002841481,0.007704548,0.009380893,0.03188099,0.07074162,0.2942039,0.001865283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3259984,0.3612555,0.1186237,0.08584107,0.02176391,0.01374093,0.003664071,0.001059201,0.06805322],"genre_scores_gemma":[0.9126346,0.02606598,0.03666202,0.01226249,0.003730479,0.0040685,0.0008982364,0.0005241903,0.003153666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.542388,"threshold_uncertainty_score":0.668861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09497121518925992,"score_gpt":0.3809406796166385,"score_spread":0.2859694644273786,"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."}}