{"id":"W4312111995","doi":"10.1145/3565967.3570981","title":"Measuring Gendered Communication Patterns on Enterprise Communication Platforms","year":2022,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Teamwork; Harm; Assertiveness; Association (psychology); Computer science; Knowledge management; Psychology; Social psychology; 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":[0.004409921,0.0003245126,0.0001845699,0.002318744,0.00107905,0.001876409,0.0004618501,0.0006030184,0.003676851],"category_scores_gemma":[0.02327262,0.0001945931,0.0002085983,0.001309629,0.0007692937,0.001975048,0.001900659,0.0007637441,0.0007842963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008166182,"about_ca_system_score_gemma":0.000521306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096484,"about_ca_topic_score_gemma":0.002982886,"domain_scores_codex":[0.9960031,0.00167964,0.0003546134,0.0004038762,0.001166982,0.0003916865],"domain_scores_gemma":[0.9736869,0.01121888,0.008277928,0.001437584,0.003945449,0.001433261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002405847,0.0003402443,0.8843117,0.0001744711,0.00006424539,0.000184015,0.05760763,0.0002502028,0.004365917,0.001685186,0.0009934283,0.04978232],"study_design_scores_gemma":[0.00001106408,0.0003103945,0.9368541,0.0001159594,0.00002533652,0.0003060711,0.05340521,0.0009368084,0.002135345,0.00119194,0.004665349,0.00004227329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947258,0.00006282511,0.0007323219,0.00008021457,0.000009764477,0.00004555133,0.0001477215,0.00000615819,0.004189828],"genre_scores_gemma":[0.996426,0.00009241712,0.001533344,0.00006221159,0.00001417076,0.0001139317,0.0002183104,0.0000102127,0.001529308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004409921,"threshold_uncertainty_score":0.02332217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465446285027985,"score_gpt":0.2603015470738752,"score_spread":0.2056470842235953,"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."}}