{"id":"W2406643723","doi":"10.14236/ewic/eva2013.6","title":"EMVIZ (flow): An Artistic Tool for Visualising Movement Quality","year":2013,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Human Motion and Animation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Movement (music); Visualization; Embodied cognition; Human–computer interaction; Artificial intelligence; Dance; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0005808307,0.00014332,0.0001703639,0.00008333979,0.0001054494,0.0001274981,0.0001159639,0.00006534479,0.0001197102],"category_scores_gemma":[0.00005893009,0.0001632271,0.00004575631,0.000165302,0.00001178553,0.0002003652,0.000020209,0.0002365327,0.00003112813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223267,"about_ca_system_score_gemma":0.00002181374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001598181,"about_ca_topic_score_gemma":0.00006342814,"domain_scores_codex":[0.998654,0.00005731915,0.0004134912,0.0002071197,0.0001228019,0.0005452444],"domain_scores_gemma":[0.999568,0.000141735,0.00004785989,0.0001595817,0.0000376389,0.00004520268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001007468,0.0001308581,0.001402108,0.0001868102,0.00004012988,9.529177e-7,0.001613604,0.5078682,0.00746838,0.02851041,0.001002258,0.4517663],"study_design_scores_gemma":[0.0003813313,0.00004183458,0.01248511,0.0000692002,0.000003543633,7.286114e-7,0.0001151249,0.9806437,0.0004092906,0.005360165,0.0002705506,0.0002194316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5864085,0.00008599435,0.4125728,0.0000414916,0.0001252071,0.0002932045,6.431277e-7,0.0002183678,0.000253798],"genre_scores_gemma":[0.9942639,0.000004902289,0.005210164,0.0001540715,0.0002231313,0.00003219692,0.00002774735,0.00003230158,0.00005150861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4727755,"threshold_uncertainty_score":0.6656207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640407391507525,"score_gpt":0.2934542462245873,"score_spread":0.277050172309512,"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."}}