{"id":"W4404966485","doi":"10.1145/3680528.3687702","title":"Measuring Human Motion Under Clothing","year":2024,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Clothing; Human motion; Computer science; Motion (physics); Computer vision; Geography","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":[0.00008598132,0.00005602785,0.00005294685,0.00008352992,0.00004010071,0.00008183486,0.00003650657,0.00002760117,0.0001274105],"category_scores_gemma":[0.00000152747,0.00005051641,0.00005063337,0.0001058623,0.000003189886,0.0000819879,0.000006548947,0.00008549225,0.0001423295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003445757,"about_ca_system_score_gemma":0.000001839074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000236284,"about_ca_topic_score_gemma":0.00001359971,"domain_scores_codex":[0.9996583,0.000003899868,0.00008197381,0.00008539476,0.00007764733,0.00009281773],"domain_scores_gemma":[0.9998896,0.000007000204,0.00000172651,0.00007119902,0.000007115271,0.00002333971],"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":[7.172603e-8,0.000002628719,0.0000297008,0.00006757266,0.00006804292,0.000003646173,0.0001663677,0.9713322,0.01404391,0.004050948,0.0004986722,0.009736224],"study_design_scores_gemma":[0.00001854516,0.000001373839,0.00004597458,0.00003775108,0.00001932901,0.000001176416,0.00004346481,0.9954242,0.002566068,0.00152917,0.0002354036,0.00007751524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1342212,0.0006870216,0.8334013,0.00007244078,0.0001826948,0.00001443513,3.659488e-7,0.001540327,0.02988018],"genre_scores_gemma":[0.9983673,0.00001142112,0.0003762179,0.0000177793,0.0001076954,0.000001572359,0.000002578121,0.00002004778,0.001095381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8641461,"threshold_uncertainty_score":0.2059999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493517135502752,"score_gpt":0.2350732209359359,"score_spread":0.1901380495809084,"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."}}