{"id":"W4392226651","doi":"","title":"Game Studies et industrie du jeu vidéo : mélange de mondes","year":2022,"lang":"fr","type":"preprint","venue":"Archipelago (University of Quebec in Montreal)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Video game; Mixing (physics); Video game development; Game design; Computer science; Multimedia; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003446489,0.0004312429,0.0003757919,0.003109426,0.005758155,0.008310609,0.0007829369,0.001067883,0.005845797],"category_scores_gemma":[0.008881558,0.0003203432,0.0002647149,0.002840111,0.005137658,0.004212578,0.004044186,0.001233399,0.000379821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003760505,"about_ca_system_score_gemma":0.001909014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05874042,"about_ca_topic_score_gemma":0.1204859,"domain_scores_codex":[0.9975382,0.001386407,0.00007194994,0.000235121,0.0004481254,0.0003202263],"domain_scores_gemma":[0.9948288,0.00298963,0.0004283751,0.0002436627,0.0007723529,0.0007372372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000198886,0.0001439176,0.0403574,0.0005055381,0.00005603305,0.0006655511,0.809997,0.0001231432,0.001516361,0.04409505,0.009490138,0.092851],"study_design_scores_gemma":[0.0000110085,0.0001511982,0.08313195,0.0008000055,0.00002332039,0.0003522185,0.6406564,0.0002687062,0.0005304457,0.00377446,0.2702357,0.00006456181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.904794,0.01127724,0.001970986,0.007366621,0.0004321373,0.00006065699,0.0002367199,0.0000295662,0.07383221],"genre_scores_gemma":[0.9711813,0.005203673,0.001045633,0.0007576984,0.0001279989,0.00008761916,0.0001241425,0.00004649488,0.02142532],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05874042,"threshold_uncertainty_score":0.116797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079890059175515,"score_gpt":0.2740277755618157,"score_spread":0.2332288749700606,"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."}}