{"id":"W4246346374","doi":"10.1145/3262282","title":"Session details: Character animation I","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Character animation; Session (web analytics); Character (mathematics); Computer science; Computer graphics (images); Animation; Multimedia; Computer animation; World Wide Web; Geometry; Mathematics","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":[0.0001899938,0.0001099179,0.00007757376,0.00027798,0.0001401377,0.00003075545,0.00009641929,0.0001031831,0.000254548],"category_scores_gemma":[0.000008224045,0.0001117052,0.00007005293,0.0003012725,0.00001880247,0.0002477389,8.875249e-7,0.0002284052,0.0001649496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000358271,"about_ca_system_score_gemma":0.000004130071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001402857,"about_ca_topic_score_gemma":0.00003865907,"domain_scores_codex":[0.9993607,0.00001205385,0.0001964873,0.0001092193,0.0001574571,0.0001641094],"domain_scores_gemma":[0.9995986,0.00004848871,0.00002134489,0.0002276986,0.00003753339,0.00006636744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001283666,0.0007514031,0.001290543,0.0004081468,0.0002458747,0.00002455032,0.003513167,0.01390294,0.1620432,0.01537568,0.002118554,0.8001976],"study_design_scores_gemma":[0.004321418,0.000701835,0.4315957,0.0006381405,0.0002862447,0.00009241734,0.00125,0.1187879,0.2690735,0.01733662,0.1530443,0.002871966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2527455,0.00001966834,0.744377,0.0001571099,0.0003569423,0.0001077986,0.000006294026,0.0005126601,0.001717082],"genre_scores_gemma":[0.9979196,0.0001014942,0.001568986,0.0001909533,0.00005244777,0.000007286771,0.00001567801,0.00002416424,0.0001193918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7973256,"threshold_uncertainty_score":0.4555206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129611536174969,"score_gpt":0.2495054389798541,"score_spread":0.2282093236181044,"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."}}