{"id":"W2727666993","doi":"","title":"Affect at Play: Politics via Videogames","year":2016,"lang":"en","type":"article","venue":"Loading...","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Politics; Normative; Aesthetics; Affect (linguistics); Sociology; Cognition; Set (abstract data type); Epistemology; Psychology; Social psychology; Political science; Art; Law; Philosophy; Computer science; Communication","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001971145,0.00008391738,0.000116977,0.0000393104,0.0001090163,0.00004598094,0.0001709463,0.00007220891,0.0005926642],"category_scores_gemma":[0.0002996635,0.00005743843,0.00007376091,0.00009685006,0.0002667364,0.0001967411,0.00006122329,0.00003312058,0.0009661434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881854,"about_ca_system_score_gemma":0.00006130044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001486809,"about_ca_topic_score_gemma":0.0004946719,"domain_scores_codex":[0.999006,0.00003890696,0.0001015791,0.0001645059,0.0002636259,0.0004253689],"domain_scores_gemma":[0.9993017,0.0002434602,0.00004370309,0.0001404235,0.00003251989,0.000238153],"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":[0.00002504594,0.000128169,0.028466,0.00002478763,0.00006229944,0.00005185235,0.01912644,4.261764e-7,0.01435812,0.1901893,0.06485595,0.6827117],"study_design_scores_gemma":[0.0001888737,0.00004189332,0.002054823,0.00003845719,0.000007157964,0.000001754195,0.0002251554,8.547034e-7,0.003067155,0.002203688,0.9920499,0.0001203177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3134083,0.0001279032,0.0001519972,0.002949604,0.0007124303,0.0001280002,0.00001384935,0.0001403006,0.6823677],"genre_scores_gemma":[0.7780638,0.00005434388,0.00005754488,0.0003158707,0.0003946857,0.000005007731,8.644611e-7,0.000009566811,0.2210983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9271939,"threshold_uncertainty_score":0.9998117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671740009252544,"score_gpt":0.2846080392978765,"score_spread":0.2678906392053511,"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."}}