{"id":"W2116728882","doi":"10.7557/23.6003","title":"Video Game Genre, Evolution and Innovation","year":2009,"lang":"en","type":"article","venue":"Eludamos Journal for Computer Game Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Video game; Game art design; Game Developer; Game mechanics; Computer science; Game design; Quality (philosophy); Multimedia; Sociology; Epistemology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004283653,0.0001235635,0.0001605651,0.000129244,0.0002006562,0.0004319895,0.0001671347,0.0001287568,0.00001278923],"category_scores_gemma":[0.0001158273,0.00009930373,0.00008289777,0.0004735689,0.00007656843,0.0006256275,0.00001846828,0.0002217937,0.000007146022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076913,"about_ca_system_score_gemma":0.00008985067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002878885,"about_ca_topic_score_gemma":0.000009923765,"domain_scores_codex":[0.9989025,0.00004279377,0.0002647125,0.0001725304,0.0003018135,0.0003156543],"domain_scores_gemma":[0.9991587,0.00002695384,0.0001605995,0.00007355356,0.0004152232,0.0001649146],"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":[0.00005077222,0.0001017238,0.0003376483,0.00001377784,0.00003801204,0.00001679621,0.01834966,0.00008048728,0.0005435441,0.1371103,0.07408002,0.7692773],"study_design_scores_gemma":[0.0005558844,0.0002960496,0.004762704,0.00005951067,0.00001539563,0.00007525384,0.0004965912,0.0003035738,0.00002149399,0.01770984,0.9755397,0.0001640461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4440136,0.006000097,0.4531832,0.01750194,0.009101118,0.001897517,0.00004074076,0.0004166633,0.06784519],"genre_scores_gemma":[0.9331359,0.0004067149,0.01365431,0.00320169,0.006698045,0.000007812248,0.0000235437,0.00001789517,0.04285404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9014596,"threshold_uncertainty_score":0.4165685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314890615393875,"score_gpt":0.3118162753238765,"score_spread":0.2886673691699377,"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."}}