{"id":"W4382515809","doi":"10.1145/3587103.3594209","title":"A Methodology for Investigating Women's Module Choices in Computer Science","year":2023,"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 Toronto","funders":"","keywords":"Curriculum; Work (physics); Computer science; Value (mathematics); Center (category theory); Code (set theory); Focus group; Knowledge management; Psychology; Pedagogy; Sociology; Engineering","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":[0.00325218,0.00003662285,0.00007174078,0.000278495,0.0003544823,0.00003154773,0.000255854,0.00005979243,0.00002584197],"category_scores_gemma":[0.000974671,0.00003538435,0.00001129218,0.001336772,0.0005911405,0.0001427503,0.00004954835,0.00005519486,0.00002202198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009583904,"about_ca_system_score_gemma":0.00024551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005698209,"about_ca_topic_score_gemma":0.0008003658,"domain_scores_codex":[0.9991543,0.00007806326,0.00009363491,0.000193059,0.0001109732,0.0003700198],"domain_scores_gemma":[0.9994049,0.0003790843,0.00002767755,0.00008687364,0.00005053967,0.00005089917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002839447,0.00006552988,0.1093373,0.00002751378,0.000009266209,8.567666e-7,0.1860906,0.0004543797,0.005718253,0.5159939,0.001310556,0.180989],"study_design_scores_gemma":[0.0003503375,0.00008149853,0.08839146,0.000009868982,0.000002765467,6.661817e-7,0.06142585,0.01223869,0.003322546,0.8274069,0.006555399,0.000213989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811549,0.000003726695,0.01081003,0.004411249,0.0005365415,0.0001801606,3.787392e-7,0.0002167514,0.002686277],"genre_scores_gemma":[0.9190491,0.000003615703,0.07997406,0.000327955,0.0000959067,0.0001127325,7.936779e-7,0.00000266709,0.0004332191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.311413,"threshold_uncertainty_score":0.2726427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1843558038545084,"score_gpt":0.43552984215088,"score_spread":0.2511740382963716,"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."}}