{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000525217,0.00005625666,0.00006852623,0.0001023888,0.000927703,0.0000336006,0.0003920896,0.00006710803,0.000276965],"category_scores_gemma":[0.0006003375,0.00005418954,0.00001334551,0.0002999284,0.001690477,0.00004996785,0.000125288,0.00008776948,0.0002185459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004217659,"about_ca_system_score_gemma":0.0002283386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003520742,"about_ca_topic_score_gemma":0.00002454904,"domain_scores_codex":[0.9991506,0.00003472428,0.00007961722,0.000211392,0.0002790944,0.0002445478],"domain_scores_gemma":[0.9994458,0.00008453099,0.00002955657,0.0002364087,0.0001228801,0.00008084851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009152998,0.0002502865,0.1149211,0.00001018417,0.00001923022,0.00002808868,0.06114488,0.000002493858,0.0004920221,0.03330258,0.6493605,0.1404596],"study_design_scores_gemma":[0.000162411,0.00003546874,0.07047758,0.000003842212,0.000004946291,0.00002126097,0.001712361,0.000005196588,0.0005235145,0.0038805,0.9230363,0.0001366644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386339,0.000141301,0.00008597415,0.03918284,0.0004589226,0.0001161013,5.284481e-7,0.00014074,0.02123968],"genre_scores_gemma":[0.9918188,0.0001656936,0.00558167,0.0009186151,0.0001897976,0.000008544808,5.54347e-7,0.000003841697,0.001312519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2736758,"threshold_uncertainty_score":0.7135235,"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."}}