{"id":"W4400814018","doi":"10.1145/3664221","title":"Lightning Artist Toolkit: A Hand-Drawn Volumetric Animation Pipeline","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Universitas Brawijaya","keywords":"Animation; Computer science; USable; Pipeline (software); Process (computing); Computer animation; Computer facial animation; Point (geometry); Gesture; Set (abstract data type); Action (physics); Computer graphics (images); Point cloud; Lightning (connector); Human–computer interaction; Artificial intelligence; Multimedia","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":[0.001035782,0.001979206,0.00109423,0.002950754,0.0007306914,0.003131046,0.003505998,0.001410046,0.03956708],"category_scores_gemma":[0.003417714,0.001393784,0.002558275,0.001485921,0.0006997968,0.002092233,0.004519846,0.00318497,0.01830703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706425,"about_ca_system_score_gemma":0.0009762658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003973474,"about_ca_topic_score_gemma":0.0110849,"domain_scores_codex":[0.9993382,0.00008821836,0.00004415933,0.0001593502,0.0002782528,0.00009168124],"domain_scores_gemma":[0.9991989,0.0002451005,0.00004120075,0.0002924207,0.0001249503,0.00009747351],"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":[0.0005689404,0.0002573844,0.001742381,0.001251113,0.000234376,0.0005393,0.0006429701,0.03549098,0.04175762,0.02050286,0.3545125,0.5424997],"study_design_scores_gemma":[0.0002791893,0.0001646707,0.002354712,0.0004063065,0.00008584745,0.001076313,0.0003376507,0.4392261,0.04058455,0.04583526,0.4693791,0.0002703814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004253158,0.0005474677,0.7754495,0.0003282831,0.0003942435,0.0004886342,0.0154111,0.1875677,0.01555999],"genre_scores_gemma":[0.06246017,0.0009316656,0.8330561,0.0004072027,0.0001064757,0.000862152,0.05248771,0.03456137,0.01512724],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03956708,"threshold_uncertainty_score":0.1323651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010265954878995,"score_gpt":0.2355226688520262,"score_spread":0.2254200093032363,"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."}}