{"id":"W4206772900","doi":"10.1080/00405000.2021.1944513","title":"Automatic 3D human body landmarks extraction and measurement based on mean curvature skeleton for tailoring","year":2021,"lang":"en","type":"article","venue":"Journal of the Textile Institute","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial intelligence; Computer science; Curvature; Computer vision; Segmentation; Pattern recognition (psychology); Mathematics; Geometry","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":[0.0003934947,0.001002961,0.0008357518,0.00274664,0.0003779476,0.0007206505,0.0008981092,0.0008398588,0.002344975],"category_scores_gemma":[0.001604848,0.0005286292,0.000887813,0.001795483,0.0004627085,0.0009209338,0.001253015,0.0005740153,0.001999455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356799,"about_ca_system_score_gemma":0.0006467458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066501,"about_ca_topic_score_gemma":0.003311892,"domain_scores_codex":[0.9992133,0.0001167078,0.00003869247,0.0002218683,0.0003374159,0.00007192334],"domain_scores_gemma":[0.9994186,0.0000850714,0.00008547411,0.0001544626,0.0002218275,0.00003465244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002202834,0.00006767832,0.005743284,0.0002672857,0.00007910979,0.0003314025,0.0002867023,0.02509605,0.145682,0.004560628,0.007056035,0.8106095],"study_design_scores_gemma":[0.00003791394,0.0002706848,0.02735322,0.00009782699,0.0001013418,0.002284756,0.0003620206,0.8054608,0.1336065,0.009087659,0.02117022,0.0001669955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01990016,0.0002282028,0.9755366,0.0000477251,0.00003005148,0.00006203791,0.000213769,0.002687263,0.001294175],"genre_scores_gemma":[0.3702394,0.0006027335,0.6234569,0.00009012674,0.00005303748,0.0001722454,0.001277678,0.0005826925,0.003525194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00274664,"threshold_uncertainty_score":0.007844687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479561468574739,"score_gpt":0.2559415633349416,"score_spread":0.2311459486491942,"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."}}