{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008538935,0.0003770451,0.000156194,0.0006504835,0.002292278,0.005038305,0.0004107053,0.0008821423,0.007771939],"category_scores_gemma":[0.002405823,0.0001474611,0.0002079398,0.0003315797,0.006613924,0.002735358,0.002934964,0.001061072,0.0005540977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017419,"about_ca_system_score_gemma":0.0002878598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023455,"about_ca_topic_score_gemma":0.001364309,"domain_scores_codex":[0.9985709,0.001059945,0.00001628601,0.00009344453,0.0001355453,0.0001238324],"domain_scores_gemma":[0.9990438,0.0006263877,0.0001084819,0.00005200487,0.00004473823,0.000124533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002668187,0.0001526806,0.006702497,0.000323775,0.00005233787,0.001002344,0.1737171,0.001170343,0.006088321,0.7404605,0.009330298,0.06073295],"study_design_scores_gemma":[0.00008897269,0.0006078273,0.02128636,0.0006598516,0.00009497733,0.001507376,0.1930868,0.003763684,0.004584677,0.1928314,0.581391,0.0000970179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3281046,0.002078649,0.01847962,0.006511081,0.000524462,0.00006746129,0.00009454487,0.00009003709,0.6440494],"genre_scores_gemma":[0.988731,0.0004339985,0.001070406,0.0004076168,0.00009239595,0.00003209314,0.00001469347,0.00002192665,0.009195906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007771939,"threshold_uncertainty_score":0.02599972,"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."}}