{"id":"W2057300723","doi":"10.1109/mcg.2005.33","title":"Applications of computers to dance","year":2005,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Human Motion and Animation","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Credo Interactive (Canada); Simon Fraser University","funders":"","keywords":"Dance; Choreography; Computer science; Computer graphics; Multimedia; Variety (cybernetics); Computer graphics (images); Human–computer interaction; Visual arts; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004507168,0.00008006064,0.00009238447,0.0001243357,0.00007331972,0.00002495055,0.0001176533,0.00003188811,0.000005622318],"category_scores_gemma":[2.232384e-7,0.00008925769,0.00002988719,0.000261215,0.00003383281,0.00005496751,0.00001534577,0.00006171716,0.00003687466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008896997,"about_ca_system_score_gemma":0.000003649973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001435162,"about_ca_topic_score_gemma":0.000007083843,"domain_scores_codex":[0.9995224,0.000004788005,0.0001799533,0.0001323133,0.00006902141,0.00009150552],"domain_scores_gemma":[0.9996367,0.00002328109,0.00002475307,0.0001853087,0.00004894002,0.00008104148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001184823,0.000113651,0.0002319966,0.0001208205,0.0000373967,8.822308e-8,0.0004222002,0.03945402,0.002975268,0.406152,0.008865698,0.5416257],"study_design_scores_gemma":[0.0002012625,0.00002367237,0.004224845,0.00002361478,0.00001189997,0.00000372406,0.00000889024,0.3449311,0.001096233,0.002015443,0.6472329,0.0002263968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01230755,0.00008391035,0.9863878,0.0001838241,0.00003731057,0.0003461077,0.00001551228,0.0001504024,0.0004875287],"genre_scores_gemma":[0.9703592,0.00009889105,0.02858154,0.0003272366,0.0003340958,0.0002500538,0.00001327291,0.00001412721,0.00002155307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9580517,"threshold_uncertainty_score":0.3639823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00868118797968299,"score_gpt":0.222752069539815,"score_spread":0.214070881560132,"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."}}