{"id":"W2946868478","doi":"10.1177/1527476419851089","title":"Contested Formations of Digital Game Labor","year":2019,"lang":"en","type":"article","venue":"Television & New Media","topic":"Digital Games and Media","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Politics; Game studies; Video game; Game art design; Sociology; Capitalism; Game design; Object (grammar); Game Developer; Political science; Media studies; Computer science; Multimedia","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":[0.0001731453,0.00007862467,0.0001820676,0.00006747682,0.00002022786,0.00008501324,0.0002138143,0.00006581492,0.0007755685],"category_scores_gemma":[0.0009568966,0.00006645568,0.00007158563,0.0003134818,0.0001089359,0.0006933039,0.00004027378,0.00007005085,0.0007742438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002397046,"about_ca_system_score_gemma":0.0002945338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006702494,"about_ca_topic_score_gemma":0.00009661741,"domain_scores_codex":[0.9989299,0.00001891372,0.0002492113,0.0001185949,0.0004574018,0.000225982],"domain_scores_gemma":[0.9989876,0.0003647663,0.0001083521,0.000172696,0.0001219081,0.0002446538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002866126,0.00009755609,0.008201614,0.00002625004,0.00001607786,0.000002427953,0.03367329,0.000003123959,0.0004801316,0.04099327,0.009393142,0.9070845],"study_design_scores_gemma":[0.0005413647,0.00006450005,0.006701691,0.00007160069,0.000007304396,5.98867e-7,0.005730753,0.00001504463,0.0002200224,0.001225846,0.9853084,0.0001128776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.59338,0.0001928306,0.00005900962,0.001146204,0.0005079425,0.0002833981,0.00004457298,0.00008654078,0.4042995],"genre_scores_gemma":[0.9719728,0.00008768095,0.00009664523,0.0001389,0.0001539481,0.000001914419,0.00002669952,0.000008694421,0.02751275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9759153,"threshold_uncertainty_score":0.9951596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371637503393103,"score_gpt":0.2872607741424274,"score_spread":0.2635443991084964,"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."}}