{"id":"W2083793021","doi":"10.1016/j.bone.2008.07.079","title":"Selective inverse correlations between body fat percentage and bone mineral density in the Newfoundland population","year":2008,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bone mineral; Inverse; Population; Medicine; Internal medicine; Mathematics; Osteoporosis; Environmental health; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000272258,0.00009243955,0.0002227157,0.0001291272,0.0002392866,0.0000113813,0.00002785367,0.0000930169,0.00002315877],"category_scores_gemma":[0.0001334598,0.00006914846,0.00003159445,0.000250759,0.0000814645,0.000095214,0.00002411712,0.0003451477,0.00002719319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255336,"about_ca_system_score_gemma":0.00006797052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006195491,"about_ca_topic_score_gemma":0.006671465,"domain_scores_codex":[0.9989967,0.000114335,0.0001992434,0.0001825387,0.0002525218,0.0002546186],"domain_scores_gemma":[0.9994738,0.0001225187,0.00004361449,0.0001572313,0.00005610385,0.0001467521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001130411,0.00006610267,0.9945179,0.00002750854,0.000005844603,0.00006577141,0.001224749,0.000001034842,0.0006688994,0.00004521486,0.00280968,0.0004542191],"study_design_scores_gemma":[0.001618682,0.0001605307,0.9965827,0.00002203035,0.00002217773,0.0002207573,0.0001856121,0.0003710577,0.00001028569,0.00006545673,0.0006743153,0.00006634048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99636,0.0001429023,0.00002014029,0.002079441,0.00003204968,0.0005623603,0.000007459249,0.00001724466,0.0007784156],"genre_scores_gemma":[0.9977279,0.0001017969,0.000179747,0.0005211922,0.0001825315,0.00001457385,0.0001407199,0.000009608058,0.001121874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002135365,"threshold_uncertainty_score":0.936577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844718963094899,"score_gpt":0.3197124387482342,"score_spread":0.2812652491172852,"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."}}