{"id":"W90934856","doi":"","title":"Vitamin D Receptor Gene Polymorphism's Effect of bone Mineral Density: Analysis by Use of Belief Functions.","year":2002,"lang":"en","type":"article","venue":"Joint International Conference on Information Sciences","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bone mineral; Calcitriol receptor; Polymorphism (computer science); Gene; Vitamin; Chemistry; Internal medicine; Endocrinology; Genetics; Medicine; Osteoporosis; Biology; Biochemistry; Genotype","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":[0.0261525,0.001133592,0.001344432,0.001367061,0.0006289,0.001324984,0.001766935,0.001602258,0.006762345],"category_scores_gemma":[0.09753226,0.0005077544,0.002992502,0.001181997,0.0013782,0.001088588,0.001262563,0.003525066,0.0005292938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007116697,"about_ca_system_score_gemma":0.000805535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008438841,"about_ca_topic_score_gemma":0.003077732,"domain_scores_codex":[0.9836865,0.01436962,0.0002261338,0.0007410063,0.0004899705,0.0004868809],"domain_scores_gemma":[0.6713042,0.3199012,0.00230378,0.004540484,0.0009138442,0.001036484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0360379,0.003472331,0.7718536,0.0002833848,0.009519826,0.0008477782,0.00276045,0.03783936,0.003400001,0.01226411,0.001816587,0.1199047],"study_design_scores_gemma":[0.001426731,0.009590356,0.4300348,0.0001169263,0.007726676,0.001256379,0.001691745,0.5292671,0.002440257,0.01476497,0.001525828,0.0001581633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788696,0.0004763761,0.01869713,0.0004322594,0.00003644773,0.00005964065,0.0004670339,0.00007221434,0.000889343],"genre_scores_gemma":[0.9949266,0.0001104806,0.003992994,0.00003445112,0.00001626526,0.00006673412,0.0002102234,0.00002017252,0.0006220885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0261525,"threshold_uncertainty_score":0.1383093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722700722714545,"score_gpt":0.3258327118437087,"score_spread":0.2535626395722542,"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."}}