{"id":"W3136992615","doi":"10.1145/3253361","title":"Session details: Animation from motion capture","year":2002,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Animation; Computer graphics (images); Motion capture; Computer facial animation; Motion (physics); Computer animation; Multimedia; Computer vision; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006374819,0.001268617,0.001548007,0.0008251389,0.0008067967,0.001992063,0.0009105296,0.002025806,0.666683],"category_scores_gemma":[0.002124897,0.0004160044,0.00100965,0.0008056762,0.0002426327,0.001024581,0.00125296,0.001584153,0.2803187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162437,"about_ca_system_score_gemma":0.0003124624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009435784,"about_ca_topic_score_gemma":0.002053806,"domain_scores_codex":[0.9997981,0.00003860988,0.00001034843,0.00004791057,0.00006550872,0.00003947162],"domain_scores_gemma":[0.9991823,0.0003065269,0.00001504153,0.0001710274,0.0001649286,0.0001602149],"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":[0.0008295529,0.0001608607,0.0002361562,0.0005014834,0.00005227458,0.0001841896,0.00006317779,0.001014541,0.02057755,0.00267772,0.8413571,0.1323453],"study_design_scores_gemma":[0.0004298087,0.000403983,0.004724191,0.0002651513,0.00008556803,0.0007202799,0.0000672753,0.0109079,0.01334108,0.0047078,0.9642498,0.00009716381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009596443,0.007076486,0.1345666,0.0061768,0.03105302,0.002463839,0.05013051,0.03054571,0.7283906],"genre_scores_gemma":[0.06060738,0.007363698,0.04356066,0.0009472223,0.004483265,0.001080409,0.0475313,0.004929633,0.8294964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.666683,"threshold_uncertainty_score":0.4754363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907387263611423,"score_gpt":0.2023105611546804,"score_spread":0.1832366885185662,"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."}}