{"id":"W4389188885","doi":"10.2139/ssrn.4635599","title":"The signals we give: Performance feedback, gender, and competition","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Negative feedback; Competition (biology); Valence (chemistry); Gender bias; SPARK (programming language); Psychology; Representation (politics); Positive feedback; Social psychology; Cognitive psychology; Computer science; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.006002961,0.0006542884,0.0006936745,0.0005988405,0.0007715428,0.003900554,0.0005300079,0.002481038,0.01538986],"category_scores_gemma":[0.03950839,0.0004034229,0.0001951707,0.00056948,0.001937868,0.001638818,0.001338213,0.001497493,0.001148151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009454064,"about_ca_system_score_gemma":0.0008610324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747999,"about_ca_topic_score_gemma":0.002296564,"domain_scores_codex":[0.9967115,0.001889857,0.0001091375,0.0003017096,0.0006168555,0.0003708208],"domain_scores_gemma":[0.9620198,0.02517166,0.006920573,0.001540408,0.001238727,0.003108858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.02497114,0.009107307,0.4799956,0.001285305,0.0005926574,0.001254855,0.01236553,0.01495266,0.1457832,0.09358501,0.01360577,0.2025011],"study_design_scores_gemma":[0.001435576,0.008616743,0.8357471,0.0003320267,0.0004836593,0.0007443384,0.008218269,0.02046087,0.01267739,0.1014909,0.009348912,0.000444286],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658558,0.0004553409,0.001526203,0.002161609,0.0001499216,0.000024201,0.0001565203,0.00002726171,0.02964311],"genre_scores_gemma":[0.99726,0.00007333444,0.0003004822,0.0002694073,0.00004540611,0.000008054846,0.0000231408,0.00001653687,0.002003617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538986,"threshold_uncertainty_score":0.05148423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309511899302453,"score_gpt":0.312203027140082,"score_spread":0.2812518372098367,"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."}}