{"id":"W2529792211","doi":"","title":"Why are Women Underrepresented in IT? The Role of Implicit and Explicit Gender Identity","year":2016,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Identity (music); Implicit-association test; Normative; Psychology; Social psychology; Gender identity; Field (mathematics); Test (biology); Implicit attitude; Association (psychology); Gender studies; Sociology; Political science; Mathematics","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":[0.002678471,0.000162303,0.0002715719,0.001332444,0.001710183,0.002619346,0.0003524217,0.0006213235,0.004589984],"category_scores_gemma":[0.01495298,0.0001313126,0.0001622101,0.001205717,0.002835072,0.002103399,0.001455553,0.0007115171,0.0005164746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000718776,"about_ca_system_score_gemma":0.001170914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005603698,"about_ca_topic_score_gemma":0.007420192,"domain_scores_codex":[0.9976799,0.0009659976,0.00008263549,0.0002007745,0.0004994177,0.0005712536],"domain_scores_gemma":[0.9937233,0.002674194,0.001701091,0.0002263804,0.0005098234,0.001165083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002303451,0.0001194633,0.765173,0.0001094857,0.00004470178,0.0007507861,0.09591752,0.00004496876,0.001042397,0.00967218,0.003308187,0.1235869],"study_design_scores_gemma":[0.00002261819,0.0001737594,0.6764545,0.0003954352,0.0000528257,0.001300318,0.2872224,0.0001988631,0.0006157199,0.008931673,0.02459187,0.00004004413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766651,0.00173021,0.0004549939,0.009023087,0.0001522546,0.00001109233,0.00005538809,0.000006990725,0.01190072],"genre_scores_gemma":[0.9979091,0.000476631,0.00004865651,0.0006024526,0.00004858014,0.00000469385,0.00001265815,0.000003353897,0.0008940024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005603698,"threshold_uncertainty_score":0.01535499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716121972235422,"score_gpt":0.3294309083178795,"score_spread":0.2822696885955253,"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."}}