{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001378793,0.00001073512,0.00001048406,0.000007271764,0.00000473553,0.000004377306,0.000009078202,0.000005398541,0.0006845896],"category_scores_gemma":[0.000001573942,0.000009527716,0.000004171243,0.000009472318,9.680141e-7,0.00001644635,7.6641e-7,0.000008819702,0.0006780909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001897243,"about_ca_system_score_gemma":1.254698e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.363343e-7,"about_ca_topic_score_gemma":9.847779e-7,"domain_scores_codex":[0.9999369,0.000001069947,0.00001731952,0.00001134272,0.00001294532,0.00002036739],"domain_scores_gemma":[0.9999672,0.000001543206,6.835734e-7,0.00002090844,0.000001820208,0.000007897755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.818017e-7,0.00001285174,0.0004638328,0.00005130051,0.00001002713,2.852409e-7,0.0003367215,0.01979503,0.04340896,0.5638898,0.1169894,0.2550413],"study_design_scores_gemma":[0.0001095553,0.00000680314,0.01109875,0.000002766202,8.343453e-7,5.703608e-7,0.00001059412,0.6903939,0.005297799,0.001803621,0.2912026,0.00007220308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08989383,0.000002275582,0.1823867,0.00002997367,0.00006257699,0.000008328633,4.344978e-8,0.0003395378,0.7272767],"genre_scores_gemma":[0.9979144,6.111598e-7,0.0005858143,0.00004971201,0.00002858748,3.350256e-7,5.046342e-7,0.000002145862,0.001417876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080206,"threshold_uncertainty_score":0.8715713,"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."}}