{"id":"W2054673081","doi":"10.1145/1473195.1473233","title":"Girls, computer science, and games","year":2008,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Usability; Computer science; Subject (documents); Computer game; Multimedia; Mathematics education; Game based learning; Science learning; Computer graphics; Video game; Video game development; Game design; Video game design; Graphics; Game Developer; Human–computer interaction; Psychology; Science education; Artificial intelligence; World Wide Web; Computer graphics (images)","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":[0.001417884,0.0003815755,0.0004208293,0.0005798413,0.003462477,0.005884792,0.0004079091,0.001126313,0.02782619],"category_scores_gemma":[0.002667712,0.00017612,0.0002207337,0.0005641655,0.002760813,0.00205658,0.004306107,0.002702764,0.0030474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128588,"about_ca_system_score_gemma":0.001381686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081747,"about_ca_topic_score_gemma":0.005984773,"domain_scores_codex":[0.9987431,0.0005425001,0.00004262632,0.0001713049,0.0002433304,0.0002571216],"domain_scores_gemma":[0.9986624,0.0002670497,0.0001401917,0.00006474318,0.00009436432,0.0007712321],"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":[0.0003232885,0.0006661126,0.03128435,0.0003383807,0.00006881252,0.001055193,0.04802049,0.0001493258,0.001806656,0.5402786,0.1562468,0.2197621],"study_design_scores_gemma":[0.00004419961,0.0001727571,0.01561502,0.0003556884,0.00001950148,0.0007486278,0.02933437,0.00009987855,0.0006372558,0.04767419,0.9052824,0.00001607095],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1949152,0.02264821,0.00330938,0.07498123,0.004051786,0.00009237559,0.0003085712,0.0001121373,0.699581],"genre_scores_gemma":[0.7625039,0.009780533,0.00122385,0.0142373,0.001046794,0.0001248786,0.000109737,0.0001715139,0.2108016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02782619,"threshold_uncertainty_score":0.09308785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727072913984487,"score_gpt":0.2861167817883566,"score_spread":0.2588460526485118,"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."}}