{"id":"W2914314626","doi":"10.1145/3258833","title":"Session details: Character animation","year":2003,"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); Character animation; Computer science; Character (mathematics); Computer graphics (images); Animation; Multimedia; Computer animation; 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":[0.0007094341,0.001673548,0.00186552,0.0008510059,0.001618353,0.00320167,0.001098667,0.003396383,0.9020084],"category_scores_gemma":[0.002706655,0.0004549723,0.0009885851,0.0009391194,0.0002965814,0.001907617,0.002070143,0.002252416,0.7765546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128808,"about_ca_system_score_gemma":0.0004297282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155025,"about_ca_topic_score_gemma":0.002646145,"domain_scores_codex":[0.9997198,0.00005364035,0.00001536955,0.00007893227,0.00007570802,0.00005657861],"domain_scores_gemma":[0.9983892,0.0004266823,0.00002803128,0.0002764939,0.0003475709,0.0005320003],"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":[0.0003692844,0.0001229345,0.0001011187,0.0001830939,0.00001109874,0.00007534453,0.00002973704,0.0001410786,0.002012058,0.00083942,0.9405404,0.05557451],"study_design_scores_gemma":[0.0001257186,0.000160043,0.0008895312,0.0001057691,0.00001656878,0.0001459915,0.00003679462,0.0007617951,0.001210238,0.001001368,0.9955255,0.00002071232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002051647,0.002196052,0.00947272,0.003240035,0.01271395,0.0009103317,0.01644153,0.01246703,0.9405066],"genre_scores_gemma":[0.01063338,0.001659402,0.002522614,0.0005576272,0.001509552,0.0003150597,0.007234469,0.001940157,0.9736278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9020084,"threshold_uncertainty_score":0.139773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521988176592281,"score_gpt":0.2197894213034407,"score_spread":0.2045695395375179,"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."}}