{"id":"W2946997610","doi":"10.1177/1527476419851078","title":"Speaking in Public: What Women Say about Working in the Video Game Industry","year":2019,"lang":"en","type":"article","venue":"Television & New Media","topic":"Digital Games and Media","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Video game; Face (sociological concept); Rhetorical question; Affect (linguistics); Power (physics); Sociology; Public relations; Field (mathematics); Media studies; Gender studies; Political science; Multimedia; Social science; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005567211,0.00063657,0.0007803839,0.001515322,0.0114681,0.01125775,0.001189048,0.003615402,0.004799814],"category_scores_gemma":[0.01520069,0.0005872835,0.0004485041,0.001356572,0.01670639,0.009304965,0.005667076,0.005298647,0.001362451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003512181,"about_ca_system_score_gemma":0.003292921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137113,"about_ca_topic_score_gemma":0.01117313,"domain_scores_codex":[0.9948018,0.003381463,0.0001390211,0.0003275148,0.0005517468,0.0007984751],"domain_scores_gemma":[0.9930838,0.004718979,0.0007508667,0.0001484507,0.0004507074,0.0008470734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002594966,0.00001494701,0.001656499,0.00008228111,0.000005773229,0.0002515958,0.9881639,0.000008661975,0.0002615549,0.00315781,0.001643696,0.004727339],"study_design_scores_gemma":[0.00000294991,0.00002622165,0.001092182,0.0002537071,0.000006958947,0.0001522711,0.9723785,0.00001566063,0.0001239597,0.0008826863,0.02505457,0.00001034947],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7437897,0.01605074,0.003242213,0.104603,0.002110841,0.00007882054,0.000213757,0.000097378,0.1298136],"genre_scores_gemma":[0.9733204,0.005381831,0.0003081372,0.009975153,0.0004032546,0.00006019772,0.00005450363,0.0001107045,0.01038584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137113,"threshold_uncertainty_score":0.02944255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506539136076603,"score_gpt":0.2989306986546206,"score_spread":0.2538653072938546,"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."}}