{"id":"W4317037948","doi":"10.2139/ssrn.4323614","title":"Discrimination in the Formation of Academic Networks: A Field Experiment on #EconTwitter","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Field (mathematics); Political science; Psychology; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.004024353,0.0003835246,0.0004363517,0.0005544228,0.00292376,0.00253891,0.0007888442,0.00148717,0.01883699],"category_scores_gemma":[0.007818822,0.0003446218,0.0001832958,0.0004832879,0.001759632,0.001768595,0.001593798,0.00208909,0.002266237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131769,"about_ca_system_score_gemma":0.0008985762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329495,"about_ca_topic_score_gemma":0.004450494,"domain_scores_codex":[0.9983442,0.0008019981,0.0000738239,0.0003524268,0.0002062414,0.0002213863],"domain_scores_gemma":[0.9886017,0.00576845,0.001138799,0.001622753,0.0004176508,0.002450641],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.07724063,0.397108,0.117116,0.0004461295,0.0001979112,0.001128142,0.04397083,0.001396519,0.1610063,0.04197275,0.02301265,0.1354041],"study_design_scores_gemma":[0.02550405,0.1462342,0.6163298,0.0002070496,0.0004129703,0.0008345946,0.04210457,0.01835722,0.05108404,0.0393501,0.05914184,0.0004396344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960402,0.000008188853,0.0001570913,0.0002187278,0.00002610038,0.00008786267,0.00006363832,0.000007756232,0.003390389],"genre_scores_gemma":[0.9876506,0.00002175663,0.0006063227,0.0004436882,0.00002772689,0.0003719107,0.000152657,0.00001804748,0.01070751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959757,"threshold_uncertainty_score":0.06301606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071588255759995,"score_gpt":0.2823651523098221,"score_spread":0.2516492697522222,"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."}}