{"id":"W4395078660","doi":"10.18280/ria.380235","title":"Enhancing 3D Animation Through AI: Leveraging Computer Vision and Neural Networks","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Animation; Artificial intelligence; Computer graphics (images); Computer vision; Computer animation; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000296744,0.0005585806,0.0002719378,0.0006039183,0.0001974258,0.0005357047,0.0006039355,0.0005018297,0.001034821],"category_scores_gemma":[0.0007316864,0.0002168197,0.0004216503,0.0005224404,0.0004246609,0.0009321496,0.0005946531,0.0006428141,0.0002893636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652887,"about_ca_system_score_gemma":0.0004312462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005107368,"about_ca_topic_score_gemma":0.007092707,"domain_scores_codex":[0.9998794,0.00002151455,0.00000559172,0.00002810494,0.0000508385,0.00001447375],"domain_scores_gemma":[0.9998187,0.00008359885,0.00002212394,0.00002098823,0.0000417535,0.00001280583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006736096,0.00008282372,0.0007595829,0.0001270458,0.00005787964,0.000152141,0.00007202962,0.5604487,0.04030157,0.01088866,0.001903475,0.3851387],"study_design_scores_gemma":[0.000002352848,0.00001328843,0.000145815,0.000005283559,0.000008551196,0.00002300813,0.000004330626,0.9932612,0.003118179,0.002138825,0.001274059,0.000005186869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02230466,0.0009206998,0.9682614,0.0003006287,0.00009827375,0.00003291799,0.00003125509,0.000963018,0.007087137],"genre_scores_gemma":[0.5931152,0.001856393,0.3998139,0.0002616235,0.0001022708,0.00006103468,0.0001362918,0.0001517641,0.004501566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005107368,"threshold_uncertainty_score":0.01015526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426448710069451,"score_gpt":0.2631624947444362,"score_spread":0.2288980076437417,"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."}}