{"id":"W3153958132","doi":"","title":"Gender Inequality in Research and Service amongst Natural Sciences and Engineering Professors in Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Gender, Science, and Technology","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University; University of Manitoba","funders":"","keywords":"Gender equity; Outreach; Equity (law); Inequality; Service (business); Psychology; Gender studies; Political science; Sociology; Business; Marketing","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":[0.004429739,0.00006392659,0.0001414147,0.0008914172,0.0003027542,0.0001197487,0.0005241177,0.00005971802,0.000008674197],"category_scores_gemma":[0.001070467,0.00006089278,0.000007668631,0.00191826,0.001040468,0.0005184084,0.0003475328,0.0004441429,1.855192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000448394,"about_ca_system_score_gemma":0.003712079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2027633,"about_ca_topic_score_gemma":0.676641,"domain_scores_codex":[0.9979429,0.00011049,0.0002618561,0.0002392161,0.001116292,0.0003292038],"domain_scores_gemma":[0.9983872,0.0001536947,0.00009047645,0.00005825329,0.001218507,0.0000919405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001382082,0.00005005625,0.9029155,0.00001837302,0.00001483927,0.0001802689,0.008570004,0.00002223465,0.001556587,0.08420619,0.00004439738,0.002407707],"study_design_scores_gemma":[0.0008696992,0.00004750882,0.7843899,0.00007242439,0.000004102451,0.0001734056,0.17988,0.001194889,0.001062093,0.03043419,0.001671802,0.0001999996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874057,0.0008117517,0.000006994792,0.01028925,0.0004549316,0.00005093922,0.000002601339,0.000004733977,0.0009731218],"genre_scores_gemma":[0.9990863,0.0004079407,0.0002797377,0.0001720541,0.00003487448,8.830899e-7,2.30297e-7,0.000001547578,0.00001643294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4738776,"threshold_uncertainty_score":0.8025455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686813640640088,"score_gpt":0.3821735548329308,"score_spread":0.213492190768922,"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."}}