{"id":"W4399268169","doi":"10.1007/978-3-031-61041-7_15","title":"Affecting Audience Valence and Arousal in 360 Immersive Environments: How Powerful Neural Style Transfer Is?","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Valence (chemistry); Arousal; Style (visual arts); Human–computer interaction; Multimedia; Transfer (computing); Psychology; Visual arts; Art; Social psychology; Chemistry; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007232452,0.0006463196,0.0005582188,0.0007107839,0.0002420284,0.0009828171,0.00201584,0.0002798109,0.00001669591],"category_scores_gemma":[0.00004430431,0.0005903718,0.0001093109,0.000684938,0.0009950066,0.001321387,0.0012116,0.001228304,0.00002720453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665588,"about_ca_system_score_gemma":0.0001964861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169322,"about_ca_topic_score_gemma":0.00002985956,"domain_scores_codex":[0.9954759,0.00003627753,0.0004110741,0.00226766,0.0009269776,0.0008821268],"domain_scores_gemma":[0.9985057,0.0003735985,0.0001364832,0.0007541742,0.00004305714,0.0001869504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000160939,0.0000686826,0.0004540562,0.000451925,0.00003089431,0.001034494,0.02421671,0.008628074,0.00617961,0.005637825,0.00006685854,0.9532148],"study_design_scores_gemma":[0.0008267548,0.0005298962,0.0008540616,0.003325426,0.0000366656,0.0004944702,0.00001378969,0.9123285,0.01306937,0.06376781,0.002377672,0.002375519],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003613553,0.002888266,0.9873725,0.003405051,0.001320511,0.0003587953,0.000006528646,0.00005779675,0.0009770023],"genre_scores_gemma":[0.9656246,0.0001846309,0.02954728,0.003449596,0.0002820973,0.00000676946,0.000001722468,0.00004422125,0.0008590407],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9620111,"threshold_uncertainty_score":0.9996548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140488542038161,"score_gpt":0.2225314010957965,"score_spread":0.2111265156754149,"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."}}