{"id":"W2463023257","doi":"10.1145/2948910.2948932","title":"MoComp","year":2016,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Motion (physics); Visualization; Motion capture; Position (finance); Data visualization; Computer vision; Computer graphics (images); Artificial intelligence; Subject (documents); World Wide Web","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":[0.0009782894,0.001443934,0.0007592266,0.002028439,0.0008491372,0.002678601,0.002512063,0.001451562,0.1548834],"category_scores_gemma":[0.004265497,0.000706478,0.0009836404,0.001276686,0.000361025,0.002038474,0.003249257,0.001100812,0.06454414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004351047,"about_ca_system_score_gemma":0.0009916575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724338,"about_ca_topic_score_gemma":0.008308574,"domain_scores_codex":[0.9992769,0.0000856089,0.00004400293,0.0001484333,0.0003219896,0.0001230649],"domain_scores_gemma":[0.9982309,0.0004601444,0.00007650956,0.0004357644,0.0006215502,0.0001751715],"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":[0.001442024,0.0001364543,0.002212463,0.0008509998,0.0001314702,0.000475729,0.0002989761,0.003309277,0.009528646,0.01082743,0.6955088,0.2752777],"study_design_scores_gemma":[0.0002290719,0.0001256676,0.003155704,0.0002216775,0.00005208354,0.000785588,0.00009497169,0.02434945,0.008597667,0.007132061,0.9551234,0.0001327507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01215428,0.001755474,0.4111984,0.001441938,0.001443065,0.0006056965,0.0498992,0.3916518,0.12985],"genre_scores_gemma":[0.147974,0.002415512,0.417663,0.003128017,0.0008967799,0.002218279,0.1693385,0.07280113,0.1835648],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1548834,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006396670362672731,"score_gpt":0.1650277998738836,"score_spread":0.1586311295112108,"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."}}