{"id":"W2059133999","doi":"10.1145/2766911","title":"Deformation capture and modeling of soft objects","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Deformation (meteorology); Tracking (education); Displacement (psychology); Optimization problem; Algorithm; Synthetic data; Nonlinear system; Probabilistic logic; Artificial intelligence; Physics","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":[0.0006095318,0.0008014961,0.0006749292,0.0009850172,0.0003962213,0.001152297,0.001778708,0.001266263,0.002516711],"category_scores_gemma":[0.001637178,0.0008232653,0.001228554,0.0007041492,0.0008559345,0.001231002,0.002285791,0.001282825,0.001082884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201043,"about_ca_system_score_gemma":0.000994965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014351,"about_ca_topic_score_gemma":0.00175176,"domain_scores_codex":[0.9994191,0.00006917769,0.00003722281,0.0001149237,0.000330492,0.00002917748],"domain_scores_gemma":[0.9994532,0.000146193,0.00007329259,0.0001899871,0.00009742109,0.0000398751],"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":[0.00006068061,0.00004650902,0.0008417814,0.000213873,0.00006127756,0.0002408299,0.0002046819,0.7468017,0.08609971,0.03171678,0.001953316,0.1317588],"study_design_scores_gemma":[0.000005182767,0.00002046869,0.0002028896,0.00001040552,0.00000608834,0.0001222264,0.000009745911,0.9790447,0.009283293,0.006140855,0.005132619,0.00002153927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001766334,0.00005251864,0.9973344,0.00002684975,0.00001355886,0.00002147023,0.00004371918,0.0002404913,0.0005006713],"genre_scores_gemma":[0.1893225,0.0004716571,0.8047627,0.0001383431,0.0000494763,0.0003123783,0.0006112885,0.0005078588,0.003823847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002516711,"threshold_uncertainty_score":0.008419275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082458498707091,"score_gpt":0.2281046665534028,"score_spread":0.1972800815663319,"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."}}