{"id":"W2676649194","doi":"10.1145/3085585.3088485","title":"CISters and Intersectionality","year":2017,"lang":"en","type":"article","venue":"","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Mount Royal University","funders":"","keywords":"Intersectionality; Face (sociological concept); Mount; Order (exchange); Computer science; Medical education; Sociology; Gender studies; Medicine; Business; Social 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":[0.006121342,0.0006777935,0.0007883218,0.005115365,0.02103669,0.02250382,0.001644494,0.001984014,0.04823115],"category_scores_gemma":[0.008286875,0.0004704108,0.0009146333,0.005917767,0.04217925,0.01579958,0.03401437,0.004605863,0.003498816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007168773,"about_ca_system_score_gemma":0.005007349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702406,"about_ca_topic_score_gemma":0.007346209,"domain_scores_codex":[0.9874279,0.007278388,0.0004512232,0.001448777,0.0013969,0.001996839],"domain_scores_gemma":[0.9946324,0.001573087,0.0006289528,0.0009154565,0.0009023056,0.001347717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003818114,0.00001458247,0.002082297,0.00008593323,0.00001496149,0.0002128213,0.06439745,0.00005950082,0.000120795,0.9070406,0.008348465,0.01758443],"study_design_scores_gemma":[0.00001558078,0.00005995026,0.003077624,0.000363178,0.00002637222,0.0006811431,0.1857447,0.0001433511,0.0002621413,0.281041,0.52855,0.00003506994],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07154255,0.00677757,0.008236294,0.02197864,0.001158186,0.00005693678,0.0001418007,0.0001548931,0.8899531],"genre_scores_gemma":[0.9421849,0.003419236,0.001886546,0.001253138,0.0004413722,0.00008598806,0.0001507641,0.0001317039,0.05044635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04823115,"threshold_uncertainty_score":0.1613493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659131382221802,"score_gpt":0.4318137911422112,"score_spread":0.365900652920031,"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."}}