{"id":"W4290702616","doi":"10.3998/mij.1181","title":"Global Localities of Game Production","year":2022,"lang":"en","type":"article","venue":"Media Industries","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Style (visual arts); Geopolitics; Studio; Margin (machine learning); Span (engineering); Intermediary; Class (philosophy); Production (economics); The arts; Political science; Sociology; Media studies; Business; Art; Marketing; Visual arts; Engineering; Economics; Politics; Law; Computer science","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":[0.001521676,0.0003064145,0.0003290416,0.002037658,0.003918848,0.009333041,0.0006432692,0.0007673856,0.01114316],"category_scores_gemma":[0.003130476,0.0002582688,0.0002929067,0.00279263,0.01524699,0.006950701,0.008905931,0.001262362,0.0008758336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970846,"about_ca_system_score_gemma":0.001150694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738215,"about_ca_topic_score_gemma":0.007163612,"domain_scores_codex":[0.9984913,0.0008119072,0.00005176182,0.0002551763,0.0001553755,0.0002344646],"domain_scores_gemma":[0.9982868,0.0006959013,0.0002552513,0.0003962578,0.0001428216,0.000223003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004743644,0.00001996409,0.006992762,0.0002334965,0.00001956619,0.0006092162,0.05845609,0.000746044,0.000387006,0.9002559,0.003215775,0.02901676],"study_design_scores_gemma":[0.00001875297,0.00008595285,0.02851039,0.0007819211,0.00005934043,0.0010188,0.1429425,0.001447293,0.0009869183,0.4271271,0.3969554,0.00006561499],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2125854,0.006006574,0.01299543,0.005947313,0.0001139531,0.00005920899,0.0002296301,0.0001373804,0.7619251],"genre_scores_gemma":[0.9868444,0.001533697,0.001440525,0.000238315,0.00003665461,0.00003127181,0.00004538732,0.00005140017,0.009778231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01114316,"threshold_uncertainty_score":0.03727764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007999403909684,"score_gpt":0.2832345491384128,"score_spread":0.2431545550993159,"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."}}