{"id":"W7066129265","doi":"","title":"Geometric and Statistical Methods for Processing 3D Anthropometric Data","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USable; Software; Data processing; Geometric data analysis; Data collection; Key (lock); Data type; Anthropometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004782112,0.001811353,0.001455486,0.008000031,0.0009914057,0.002603402,0.002570466,0.001593892,0.005517805],"category_scores_gemma":[0.02018444,0.00103641,0.002379591,0.007612332,0.002224945,0.002692868,0.001984639,0.002474491,0.004215022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007417918,"about_ca_system_score_gemma":0.001871513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003186813,"about_ca_topic_score_gemma":0.003256465,"domain_scores_codex":[0.9943284,0.001453171,0.0005526151,0.0007722743,0.002767473,0.0001259805],"domain_scores_gemma":[0.9883979,0.005468841,0.0013072,0.002312604,0.002349299,0.0001641722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007193899,0.0001072335,0.003262918,0.0009312169,0.0002521476,0.0003229073,0.0003181418,0.0706029,0.009114041,0.09570955,0.0103561,0.8089508],"study_design_scores_gemma":[0.00006261133,0.000198204,0.009852414,0.0003893802,0.0001796575,0.001739942,0.0004967114,0.6458824,0.01208133,0.2399496,0.08887269,0.0002951181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000248884,0.0002778941,0.9985746,0.00006486332,0.00004079448,0.00003269573,0.0001210769,0.0003494169,0.0002898136],"genre_scores_gemma":[0.009951374,0.001156499,0.9867175,0.000070719,0.0002328997,0.0002969232,0.0006164637,0.0002106274,0.0007470188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008000031,"threshold_uncertainty_score":0.02529055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103483774330849,"score_gpt":0.3750509080069349,"score_spread":0.26470253057385,"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."}}