{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009223215,0.00007881597,0.0001026391,0.0001813527,0.00004255713,0.0000107102,0.00006480863,0.00007389236,0.000002198063],"category_scores_gemma":[0.0000107873,0.00007560691,0.00005210705,0.0002322273,0.00001486198,0.0001110239,0.000001127261,0.000143563,0.000002135428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001147064,"about_ca_system_score_gemma":0.000008702999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004192026,"about_ca_topic_score_gemma":0.00006504547,"domain_scores_codex":[0.9995759,0.000008194073,0.0001380661,0.00007060241,0.0001206173,0.00008662001],"domain_scores_gemma":[0.9996688,0.00001833576,0.00001280555,0.0001771751,0.00006260172,0.00006024123],"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":[0.000003175105,0.00001013449,0.00001579785,0.00002516591,0.00003413171,2.079489e-7,0.0008373718,0.9962361,0.00004996403,0.00002626077,0.000008601635,0.002753052],"study_design_scores_gemma":[0.0001450714,0.00001521799,0.000004930364,0.00002042382,0.00005303571,0.000002685562,0.0004428476,0.9966552,0.0002892219,0.00228446,0.000009004114,0.00007791235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1704236,0.0002579473,0.8288721,0.00005350144,0.00006128572,0.00002851624,0.000008007516,0.0001044768,0.0001905568],"genre_scores_gemma":[0.9978307,0.0001568971,0.001945208,0.00002916719,0.000008162366,0.000003913245,0.000004912339,0.00001228314,0.000008737238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8274072,"threshold_uncertainty_score":0.308316,"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."}}