{"id":"W2474520273","doi":"10.14236/ewic/eva2016.27","title":"Movement Awareness through Emotion Based Aesthetic Visualisation","year":2016,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Movement (music); Computer science; Visualization; Dance; Human–computer interaction; TRACE (psycholinguistics); Depiction; Generative grammar; Casual; Multimedia; Artificial intelligence; Visual arts; Aesthetics; Art","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":[0.0006746976,0.0007781464,0.0003394163,0.0006562702,0.0002587398,0.00200684,0.0007859658,0.0008045876,0.009827805],"category_scores_gemma":[0.00331771,0.00022967,0.0005273786,0.00021472,0.0006820386,0.001209457,0.001651523,0.0007847003,0.001659133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854042,"about_ca_system_score_gemma":0.0001367857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303649,"about_ca_topic_score_gemma":0.0003750919,"domain_scores_codex":[0.9996682,0.000114986,0.00001852416,0.00006854877,0.00009192587,0.00003786027],"domain_scores_gemma":[0.9991079,0.0005339516,0.00004471866,0.000132634,0.000102328,0.00007850249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001478704,0.000315156,0.003052095,0.001311622,0.0001305748,0.001695086,0.01598219,0.009267868,0.6076776,0.01016,0.007276368,0.3416526],"study_design_scores_gemma":[0.0006602394,0.002828709,0.04958329,0.001101237,0.0007288571,0.01018104,0.008076151,0.3107721,0.3655278,0.06526767,0.1845142,0.0007587035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2307007,0.000734492,0.7184997,0.0007029403,0.0001973726,0.0004815913,0.0004475905,0.01530939,0.03292625],"genre_scores_gemma":[0.7303157,0.0005493587,0.2516656,0.000319412,0.00008990113,0.0003452623,0.0003762977,0.001300122,0.01503835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009827805,"threshold_uncertainty_score":0.03287727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448722044615296,"score_gpt":0.3146280334411502,"score_spread":0.2801408129949973,"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."}}