{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004980995,0.00007233881,0.0001410325,0.000153333,0.0001369659,0.00007708563,0.0002295594,0.00007594716,0.00004458697],"category_scores_gemma":[0.0001611027,0.00004653689,0.00001638782,0.0003147635,0.0002160527,0.0008960116,0.0000371778,0.00006937172,0.00004032294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072769,"about_ca_system_score_gemma":0.0000846317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004047002,"about_ca_topic_score_gemma":0.00027956,"domain_scores_codex":[0.9989935,0.0001342201,0.0003102004,0.00009386112,0.0002702017,0.0001980071],"domain_scores_gemma":[0.9991513,0.0001173035,0.0003080128,0.0002202705,0.0001576176,0.00004544396],"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":[0.00002190931,0.00005521024,0.1241582,0.00003299453,0.00003869214,2.268546e-7,0.1413857,0.00001146368,0.0005093592,0.6958724,0.001407023,0.03650691],"study_design_scores_gemma":[0.0003037562,0.00004394077,0.05944258,0.00007451959,0.000004664706,0.000002966332,0.8898571,0.0001500273,0.0001357348,0.01605176,0.03378699,0.0001459167],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796506,0.00007978902,0.005510658,0.007943883,0.0003642258,0.0007196869,0.00001640375,0.00008878397,0.105626],"genre_scores_gemma":[0.9993012,0.0001679037,0.000006015192,0.000329693,0.00001945835,0.0001261803,0.000001344256,0.000002319655,0.00004588231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484714,"threshold_uncertainty_score":0.6117883,"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."}}