{"id":"W4309790058","doi":"10.1111/cgf.14720","title":"Differentiable Depth for Real2Sim Calibration of Soft Body Simulations","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Danmarks Frie Forskningsfond","keywords":"Differentiable function; Computer science; Calibration; Computer graphics (images); Computer vision; Artificial intelligence; Mathematics; Mathematical analysis; Statistics","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":[0.001009329,0.001013455,0.0004845259,0.0006002474,0.0003487061,0.001174381,0.001134533,0.001158081,0.0054156],"category_scores_gemma":[0.005753691,0.0005508927,0.0005238865,0.000320782,0.000763858,0.0009469863,0.001911128,0.001397632,0.001244955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008863807,"about_ca_system_score_gemma":0.001001113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626047,"about_ca_topic_score_gemma":0.002896986,"domain_scores_codex":[0.9993861,0.0001483901,0.00002517354,0.00009051804,0.0002972947,0.00005266604],"domain_scores_gemma":[0.9989948,0.0004187018,0.0001068896,0.0002406928,0.0001835768,0.00005529456],"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":[0.00008763998,0.0000670749,0.001007346,0.00008369192,0.00001987433,0.00005740054,0.0001244015,0.933448,0.01521842,0.007406537,0.001227571,0.04125196],"study_design_scores_gemma":[0.000005732867,0.00001294813,0.0001153424,0.000005698537,0.00000123847,0.00001205283,0.00001029422,0.993611,0.003797404,0.001507443,0.000914207,0.000006454579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04230602,0.00008477071,0.950322,0.0001585782,0.00004521527,0.00007154746,0.0001870457,0.002747158,0.004077727],"genre_scores_gemma":[0.6710032,0.00009138208,0.3242897,0.0001447583,0.00001459711,0.0001671598,0.0004241895,0.001516366,0.002348637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0054156,"threshold_uncertainty_score":0.01811695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418480975282245,"score_gpt":0.2224638860775362,"score_spread":0.2082790763247137,"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."}}