{"id":"W6930229251","doi":"10.5281/zenodo.11236024","title":"3D Models and Silhouettes for Human Body Reshape with DL from the ANSUR Dataset","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"3d model; Pattern recognition (psychology); 3D reconstruction; Human-body model; 3D modeling","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":[0.0009963068,0.006266273,0.002558093,0.004220888,0.0009608851,0.002160572,0.005017104,0.00393315,0.03021218],"category_scores_gemma":[0.003002101,0.001116179,0.004001028,0.003294817,0.0008414905,0.001042047,0.003273259,0.002387953,0.06015905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257845,"about_ca_system_score_gemma":0.001229702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026441,"about_ca_topic_score_gemma":0.05803555,"domain_scores_codex":[0.9986375,0.0002198445,0.0001264615,0.0004158831,0.0004364706,0.0001638986],"domain_scores_gemma":[0.9991595,0.0001825915,0.00005469393,0.0003355176,0.0001941455,0.00007367613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005397682,0.0002752524,0.002383207,0.002311822,0.0003328607,0.000448196,0.0001001446,0.005550346,0.001908335,0.0006457306,0.9290421,0.05646225],"study_design_scores_gemma":[0.0008802454,0.0003261852,0.01892146,0.001468723,0.0003804822,0.003940523,0.0005833534,0.05478105,0.009919704,0.005744981,0.9027452,0.0003081134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00553346,0.002256652,0.007073347,0.000321054,0.0004126124,0.0003207473,0.9648345,0.01596103,0.003286588],"genre_scores_gemma":[0.005697192,0.0004072465,0.006382606,0.0001137756,0.00003275176,0.0002746783,0.9853131,0.0004156165,0.001362966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03021218,"threshold_uncertainty_score":0.1010699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954371981779144,"score_gpt":0.2796586831047063,"score_spread":0.2401149632869149,"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."}}