{"id":"W7047279025","doi":"","title":"Geometry Processing and Statistical Shape Analysis of 3-D Anthropometry Data","year":2014,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shape analysis (program analysis); Object (grammar); Data processing; Raw data; Field (mathematics); Statistical analysis; Image processing; 3d scanning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003107905,0.00006454613,0.0001939604,0.0002437682,0.00005252785,0.00003769081,0.000217094,0.00001465592,0.2485963],"category_scores_gemma":[0.00005160606,0.00005696647,0.00001859873,0.0006900614,0.000130695,0.00002250076,0.0003017635,0.00007502566,0.000005499697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001110384,"about_ca_system_score_gemma":0.00002968977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001399049,"about_ca_topic_score_gemma":0.000009267675,"domain_scores_codex":[0.9991645,0.00003648184,0.0001697169,0.0002350449,0.0002473413,0.0001468741],"domain_scores_gemma":[0.9992834,0.0001689145,0.00005330854,0.0003661859,0.00005494921,0.00007326656],"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":[0.000004686344,0.00006314761,0.06033002,0.00002616694,0.0001062059,2.149309e-7,0.00001765604,6.277205e-7,0.002828367,0.00495023,0.001627563,0.9300451],"study_design_scores_gemma":[0.0004180844,0.00008751957,0.1888858,0.00001514077,0.0004694525,1.22635e-7,0.000349536,0.787102,0.0004391923,0.000853271,0.02121971,0.0001602235],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325189,0.00003871624,0.1336435,0.0005673425,0.00002327262,0.0001381697,0.0003870814,0.00001364229,0.1326694],"genre_scores_gemma":[0.9931855,0.000002606565,0.006225257,0.00001333086,0.00003727995,0.000002562997,0.0001829924,0.00000423964,0.0003462341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9298849,"threshold_uncertainty_score":0.7520906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436043010393592,"score_gpt":0.3240702588648688,"score_spread":0.2997098287609329,"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."}}