{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003544347,0.00004881821,0.0000991766,0.00002970742,0.00009366337,0.00002108785,0.0001506522,0.00003908165,0.0004239445],"category_scores_gemma":[0.001022608,0.00004937505,0.00002577379,0.000488579,0.0004815921,0.0001380166,0.00006928145,0.00009299572,0.000004796967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158096,"about_ca_system_score_gemma":0.0004056447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005578141,"about_ca_topic_score_gemma":0.0005855652,"domain_scores_codex":[0.9990181,0.00007688444,0.0001244349,0.0001063312,0.0004968602,0.0001774247],"domain_scores_gemma":[0.9996728,0.00005169524,0.00006186469,0.00008863551,0.00005809632,0.00006690428],"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":[0.00005080873,0.0001818109,0.04796074,0.00001790128,0.00002929823,0.000009813997,0.08053456,0.0001714979,0.00001249495,0.1105396,0.09436678,0.6661247],"study_design_scores_gemma":[0.00006315109,0.00003595417,0.001968482,0.000005080652,0.000005630416,0.000001060974,0.06636562,4.751176e-7,0.0001715149,0.001385496,0.9299423,0.00005529344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8058821,0.0003670458,0.000007186174,0.005142618,0.00330194,0.0001972357,0.00009332352,0.0000775111,0.1849311],"genre_scores_gemma":[0.9801623,0.00002690103,0.00001147503,0.0000716389,0.0003927807,0.00002753783,0.00001137644,0.000003264728,0.01929275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8355755,"threshold_uncertainty_score":0.4641895,"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."}}