{"id":"W1987136410","doi":"10.1145/2617995.2618002","title":"Mova","year":2014,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; Movement (music); Feature extraction; Data visualization; Feature (linguistics); Artificial intelligence; Human–computer interaction; Set (abstract data type); Visual analytics; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001517389,0.001392249,0.000785962,0.002894116,0.001223682,0.003400262,0.002745432,0.001834417,0.3537408],"category_scores_gemma":[0.004937557,0.0007627538,0.001360124,0.002036063,0.0005889297,0.004530885,0.004337369,0.00136607,0.2096141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009089624,"about_ca_system_score_gemma":0.001284265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004323982,"about_ca_topic_score_gemma":0.005716747,"domain_scores_codex":[0.9989259,0.0001437587,0.00007110449,0.000245986,0.0004674466,0.0001458488],"domain_scores_gemma":[0.9980133,0.0003716514,0.0001282267,0.0006580476,0.0005673466,0.0002613606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006672275,0.00009070023,0.001358698,0.0006882835,0.00005267968,0.0002357879,0.0004657905,0.001393731,0.008211638,0.02868801,0.6540886,0.3040588],"study_design_scores_gemma":[0.00005922632,0.00005418093,0.001243793,0.0001198502,0.00001897315,0.0002457704,0.00009497494,0.004581085,0.002858336,0.007015119,0.9836693,0.00003938016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007092362,0.0017661,0.2129723,0.003540894,0.001811121,0.0008416017,0.06898458,0.279495,0.4234961],"genre_scores_gemma":[0.07643016,0.002441993,0.2215635,0.002373011,0.00088786,0.001743898,0.1714386,0.04967176,0.4734493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3537408,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003721159550237861,"score_gpt":0.1548610056901179,"score_spread":0.15113984613988,"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."}}