{"id":"W7018590451","doi":"","title":"Developer Satisfaction Survey 2014 &amp; 2015 Diversity in the Game Industry Report","year":2016,"lang":"en","type":"other","venue":"Scholarship@Western (Western University)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association for Canadian and Québec Literatures; Western University","funders":"","keywords":"Diversity (politics); Work (physics); Distribution (mathematics); Game Developer; Survey data collection; Association (psychology); Bridge (graph theory)","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":[0.003750139,0.0002389865,0.0003191653,0.002348426,0.0004175087,0.0008719836,0.0004876946,0.0002723259,0.01146107],"category_scores_gemma":[0.008363475,0.0002359636,0.0003564022,0.002635256,0.000207513,0.0006931991,0.001132791,0.000716233,0.004540694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661639,"about_ca_system_score_gemma":0.0013234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222759,"about_ca_topic_score_gemma":0.04440408,"domain_scores_codex":[0.9971728,0.0006133746,0.0004221266,0.0001517398,0.001412797,0.000227134],"domain_scores_gemma":[0.9901966,0.001406795,0.001697793,0.0004233552,0.005292583,0.0009828295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003439005,0.0007825537,0.5588654,0.0002809327,0.00008401563,0.00008563364,0.001506023,0.0007329675,0.000734713,0.002409352,0.3331008,0.1010737],"study_design_scores_gemma":[0.0000335105,0.0001782487,0.8235149,0.00006423174,0.00001481013,0.00005289109,0.00130538,0.0006950248,0.0005039958,0.0001965564,0.1734077,0.00003268919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4799258,0.000270656,0.004509848,0.001811758,0.0002229869,0.002794687,0.3923998,0.0006647256,0.1173996],"genre_scores_gemma":[0.524834,0.0006760903,0.009227846,0.001124127,0.0001098914,0.006764899,0.3553332,0.0003265732,0.1016035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222759,"threshold_uncertainty_score":0.04419643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691723964087103,"score_gpt":0.3753271628832758,"score_spread":0.2061547664745655,"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."}}