{"id":"W4413802753","doi":"10.24908/iqurcp19038","title":"Adaptation and Diegesis of Pre-Existing Music in Historically-Based Video Games","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Narrative; Musical; Variety (cybernetics); Context (archaeology); Action (physics); Aesthetics; Visual arts; Art; Popular music; Computer science; Literature; History; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001524315,0.0003911958,0.0001912254,0.001197111,0.002245816,0.006376119,0.0009890072,0.0007523564,0.003928182],"category_scores_gemma":[0.005338109,0.0002170464,0.0002568952,0.0006124279,0.007912279,0.003625063,0.005555802,0.001542809,0.0005162088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948041,"about_ca_system_score_gemma":0.0006887984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096891,"about_ca_topic_score_gemma":0.007059472,"domain_scores_codex":[0.9982046,0.0009945199,0.00006529176,0.0002460086,0.0003206585,0.0001688682],"domain_scores_gemma":[0.9990088,0.0004394831,0.0001022235,0.0002121713,0.00009061617,0.0001467502],"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":[0.0002516359,0.0001561426,0.008544241,0.00046696,0.00004502804,0.001293074,0.3525422,0.0008061473,0.006409191,0.464418,0.005318244,0.1597492],"study_design_scores_gemma":[0.00004668065,0.0003120974,0.03702909,0.00145593,0.0000641169,0.002585147,0.1802106,0.002480552,0.004516661,0.08985756,0.6813263,0.0001153426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4918485,0.003120648,0.02934604,0.003010784,0.0005071987,0.0001213613,0.0001089426,0.0002002435,0.4717363],"genre_scores_gemma":[0.9767179,0.0006784105,0.005514392,0.0003823917,0.00005939366,0.00005545969,0.00007094775,0.00009440508,0.01642667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006376119,"threshold_uncertainty_score":0.01413411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549730756898521,"score_gpt":0.3989524286165994,"score_spread":0.2439793529267472,"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."}}