{"id":"W3139862627","doi":"10.29173/iasl7688","title":"Gender Equity and eGaming","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Casual; Gender equity; Leverage (statistics); Equity (law); Public relations; Literacy; Psychology; Marketing; Business; Political science; Sociology; Pedagogy; Computer science; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000347208,0.00009467631,0.0001328379,0.00002850186,0.0001354758,0.0005714516,0.0001628424,0.0000846578,0.0001758901],"category_scores_gemma":[0.0005710455,0.00009347346,0.00003170343,0.0001860284,0.0002472306,0.0007012793,0.0003424145,0.0001176884,0.00002567192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002805214,"about_ca_system_score_gemma":0.0003356473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006327026,"about_ca_topic_score_gemma":0.0001069617,"domain_scores_codex":[0.9988849,0.000008789205,0.0001207631,0.0002667778,0.0003629994,0.0003558017],"domain_scores_gemma":[0.9989957,0.00003089085,0.00004633571,0.00004080363,0.0006513094,0.0002349484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000789648,0.00004408898,0.008730739,0.0000573108,0.00001509005,0.00001539369,0.473359,2.526431e-8,0.0003412896,0.1367448,0.00201862,0.3786657],"study_design_scores_gemma":[0.0002106865,0.00003546553,0.008861423,0.00005373874,0.00001657961,0.00001150882,0.3764284,0.00001684234,0.00059567,0.01814225,0.5953594,0.0002680069],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4705503,0.0002010381,0.0000439114,0.001461089,0.0001379176,0.00006446399,0.000007401409,0.00006894355,0.5274649],"genre_scores_gemma":[0.977533,0.0002042746,0.0003246727,0.0006031335,0.0001926231,0.000006980802,0.000002048527,0.000006715381,0.02112659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5933408,"threshold_uncertainty_score":0.5510521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07044035506622832,"score_gpt":0.3411029143539018,"score_spread":0.2706625592876735,"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."}}