{"id":"W4213114044","doi":"10.4018/978-1-6684-4511-2.ch007","title":"Female Enrolment in High School Computer Science Courses","year":2022,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Doors; Curriculum; Government (linguistics); Mathematics education; Medical education; Engineering; Psychology; Pedagogy; Medicine; Mechanical engineering","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":[0.0005754881,0.0002063613,0.0002432091,0.0002095186,0.0006438253,0.0001020956,0.0008321137,0.0002671258,0.0006667905],"category_scores_gemma":[0.00003595185,0.0002337798,0.00007238468,0.00009323173,0.000967245,0.00008512636,0.0002757269,0.0004133474,0.0001640991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695438,"about_ca_system_score_gemma":0.002055079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578116,"about_ca_topic_score_gemma":0.001719013,"domain_scores_codex":[0.9979116,0.00003558872,0.0002519238,0.0005444069,0.0007936258,0.0004628217],"domain_scores_gemma":[0.9991863,0.00002725058,0.0001428557,0.0003839031,0.00009871485,0.0001609209],"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":[0.000003545255,0.00002142546,0.001118975,0.000004106038,0.00001093611,0.00001678709,0.0009506331,0.000006771604,0.000002182123,0.9907509,0.000892654,0.006221099],"study_design_scores_gemma":[0.0003369206,0.0001185088,0.002631649,0.00006532966,0.00003677481,0.00001055611,0.001812503,0.000004297502,0.00002396583,0.8165762,0.1778393,0.0005440364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009683501,0.0001538418,0.00002805552,0.0006220252,0.002394084,0.0004335622,0.00003174971,0.0001568039,0.9864964],"genre_scores_gemma":[0.9693002,0.00001721281,0.0005724784,0.0004801956,0.0003651507,0.0000431548,0.000003285052,0.00001381406,0.0292045],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9596167,"threshold_uncertainty_score":0.9533262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367225508983573,"score_gpt":0.302760403660311,"score_spread":0.2790881485704753,"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."}}