{"id":"W1568997115","doi":"10.5772/18914","title":"Family Based Studies in Complex Disorders: The Use of Bioinformatics Software for Data Analysis in Studies on Osteoporosis","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; University of Washington","keywords":"Osteoporosis; Disease; Bioinformatics; Genetic association; Candidate gene; Biology; Genetics; Gene; Concordance; Identification (biology); Medicine; Single-nucleotide polymorphism; Internal medicine; Endocrinology; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005872549,0.0002744784,0.0007315713,0.0002671108,0.00005173534,0.000006690794,0.0004685538,0.0003034535,0.000003237034],"category_scores_gemma":[0.001228325,0.0001992891,0.0001938786,0.00004896127,0.0003591537,0.000002489237,0.0004050072,0.0001580913,0.00000141793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004667,"about_ca_system_score_gemma":0.00007529588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082554,"about_ca_topic_score_gemma":0.004974226,"domain_scores_codex":[0.9984583,0.00005881905,0.0008115878,0.0003665556,0.0001015982,0.000203177],"domain_scores_gemma":[0.9977397,0.000462994,0.0005374,0.001005179,0.0002350066,0.00001967782],"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":[0.004770346,0.001863911,0.1635177,0.007321057,0.1008494,0.00003133553,0.03401726,0.01029441,0.02055165,0.0105012,0.1513846,0.4948971],"study_design_scores_gemma":[0.01048863,0.009148281,0.02617824,0.003543128,0.01210047,0.000005978404,0.02065639,0.01870956,0.01260388,0.08870845,0.7910122,0.006844808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2236113,0.05017817,0.5851208,0.003653913,0.00410749,0.02715571,0.03514565,0.0003299713,0.07069697],"genre_scores_gemma":[0.7581315,0.008412869,0.1764707,0.004529722,0.0002376478,0.0007458903,0.009200848,0.0002408053,0.04203001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6396276,"threshold_uncertainty_score":0.8126776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2648826434464518,"score_gpt":0.3567344980763753,"score_spread":0.0918518546299234,"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."}}