{"id":"W2995309265","doi":"","title":"Selective Incivility, Harassment, and Discrimination in Canadian Sciences & Engineering: A Sociological Approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Gender, Science, and Technology","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University; University of Manitoba","funders":"","keywords":"Harassment; Incivility; Social psychology; Race (biology); White (mutation); Interpersonal communication; Criminology; Inequality; Sociological theory; Psychology; Sociology; Gender studies; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002918488,0.00005810515,0.0001144111,0.001095824,0.0002452655,0.00009585787,0.0005308485,0.00008604655,0.00001542101],"category_scores_gemma":[0.0005354049,0.00005082488,0.00001669236,0.0006826695,0.001265228,0.0004868746,0.0001061181,0.0002045212,0.000001279514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119928,"about_ca_system_score_gemma":0.001118532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334778,"about_ca_topic_score_gemma":0.01422403,"domain_scores_codex":[0.9987758,0.00004436749,0.0001670649,0.000192035,0.000550051,0.0002707093],"domain_scores_gemma":[0.9992464,0.00004633488,0.0001004466,0.00003807071,0.0004504734,0.0001182956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006138298,0.00004856215,0.6766987,0.00000427774,0.00001355496,0.000005622176,0.006476211,0.00002666424,0.0006728131,0.314426,0.00004165496,0.001579801],"study_design_scores_gemma":[0.0009677456,0.0003219003,0.8561433,0.00003512458,0.00001275226,0.0001098538,0.06447642,0.004298795,0.0003351959,0.06689574,0.006115905,0.0002872942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792355,0.0001297329,0.0001219454,0.003464115,0.0003043036,0.00008545273,0.000002789829,0.000009283946,0.01664693],"genre_scores_gemma":[0.9991181,0.000134389,0.000598567,0.00008659127,0.0000356201,9.5371e-7,3.518849e-7,0.000001102276,0.00002428312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2475302,"threshold_uncertainty_score":0.9932224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06128764286947876,"score_gpt":0.3159174267351083,"score_spread":0.2546297838656296,"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."}}