{"id":"W124241506","doi":"","title":"Interactive virtual camera control in 3D character animation authoring","year":2007,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Character animation; Computer science; Character (mathematics); Computer graphics (images); Computer facial animation; Animation; Computer animation; Skeletal animation; Multimedia; Human–computer interaction; Artificial intelligence","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":[0.0005894133,0.0005379602,0.0006183373,0.000418663,0.0003850928,0.001505121,0.001151392,0.0006570357,0.01264299],"category_scores_gemma":[0.002086295,0.0005862745,0.0003551426,0.0002861777,0.0005953778,0.0007850309,0.001558571,0.000605994,0.0009135593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704038,"about_ca_system_score_gemma":0.0002583047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869547,"about_ca_topic_score_gemma":0.002497701,"domain_scores_codex":[0.9993989,0.0001982236,0.00002381698,0.00008890193,0.0002196432,0.00007038787],"domain_scores_gemma":[0.9992316,0.0003899761,0.00003676745,0.0001445765,0.0001313965,0.00006567415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001173804,0.0002352265,0.001031688,0.0003418849,0.00008233266,0.0005780164,0.0009326057,0.1808256,0.2992202,0.03362373,0.01086663,0.4710883],"study_design_scores_gemma":[0.00007258136,0.0001091698,0.0006103627,0.00002703155,0.00002154965,0.0002203544,0.00007662099,0.9006842,0.07678231,0.004137315,0.01721784,0.00004067801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0521591,0.0004078458,0.9317421,0.0001091517,0.0001373057,0.00009739312,0.00007064792,0.003071648,0.01220479],"genre_scores_gemma":[0.779919,0.0003059604,0.2055824,0.000068311,0.00004742422,0.0001166569,0.0001104615,0.0008828225,0.01296697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01264299,"threshold_uncertainty_score":0.04229498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00829219243345235,"score_gpt":0.2359043227519176,"score_spread":0.2276121303184653,"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."}}