{"id":"W4391597289","doi":"10.32920/25164551.v1","title":"Storytelling with Music: Adaptive Music in Video Games and Beyond","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Soundscape; Computer science; Multimedia; Musical; Storytelling; Music and emotion; Dynamics (music); Interactive storytelling; Visual arts; Art; Psychology; Music history; Acoustics; Literature; Narrative","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":[0.0006777527,0.0005073473,0.0002071376,0.00096179,0.0012135,0.005378233,0.0006437341,0.0009578464,0.004455694],"category_scores_gemma":[0.002365015,0.0001567176,0.0003074082,0.0007531124,0.003138551,0.004663695,0.001873428,0.0008309278,0.000490175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009961117,"about_ca_system_score_gemma":0.0006987613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122057,"about_ca_topic_score_gemma":0.002676913,"domain_scores_codex":[0.9992392,0.0004477001,0.00002728352,0.00009078249,0.0001202146,0.00007486567],"domain_scores_gemma":[0.9991947,0.0005043384,0.00005293984,0.00004934098,0.00006749407,0.0001312634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002184639,0.0002137521,0.004257366,0.0008907487,0.00003286739,0.00127786,0.06078178,0.001304631,0.01274381,0.4880145,0.01197859,0.4182857],"study_design_scores_gemma":[0.00007203592,0.0004364617,0.01615578,0.001197763,0.00006196533,0.004160412,0.05476692,0.01222556,0.01001279,0.2274971,0.6733007,0.0001125195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3034327,0.02043091,0.1563353,0.009231904,0.0009420682,0.0003933885,0.0001792825,0.0007247766,0.5083297],"genre_scores_gemma":[0.9106997,0.00560617,0.04471447,0.0008624982,0.0002497187,0.0002276379,0.0001806566,0.0001451848,0.03731389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005378233,"threshold_uncertainty_score":0.01490575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203191921407091,"score_gpt":0.2697194153446132,"score_spread":0.2376874961305424,"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."}}