{"id":"W2989938213","doi":"10.1109/iccvw.2019.00388","title":"Artist-Guided Semiautomatic Animation Colorization","year":2019,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Animation; Computer science; Studio; Workload; Consistency (knowledge bases); Automation; Process (computing); Computer graphics (images); Multimedia; Artificial intelligence; Engineering","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":[0.0009253892,0.0006498159,0.0004292999,0.0004006925,0.0004357529,0.0009911809,0.001110014,0.0005856535,0.004962348],"category_scores_gemma":[0.002909084,0.0003866553,0.0004079329,0.0002539667,0.001041884,0.0008663202,0.001880332,0.001185908,0.001016649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004467261,"about_ca_system_score_gemma":0.0006039427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007441349,"about_ca_topic_score_gemma":0.001229461,"domain_scores_codex":[0.9993623,0.0001614584,0.0000200991,0.0001407003,0.0002386958,0.00007669042],"domain_scores_gemma":[0.9988765,0.0003797605,0.00009967732,0.0003879863,0.0001728481,0.00008319914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004556672,0.0002061635,0.001214103,0.0001457244,0.00005326033,0.0002753692,0.0006772864,0.3945174,0.2426907,0.04343629,0.007141675,0.3091863],"study_design_scores_gemma":[0.0000256952,0.00007534449,0.0003198544,0.00001088171,0.00000864811,0.000124994,0.00004642371,0.9355553,0.04775301,0.0103431,0.005713153,0.00002362829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02792848,0.00005980547,0.9642102,0.0001735957,0.00007392614,0.00007117494,0.00003517137,0.001968647,0.005479098],"genre_scores_gemma":[0.6569315,0.000115024,0.3336577,0.0001985602,0.00005212867,0.00009852627,0.0001156007,0.0007126001,0.008118308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004962348,"threshold_uncertainty_score":0.01660073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570636608378194,"score_gpt":0.2820421309134192,"score_spread":0.2663357648296372,"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."}}