{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01078172,0.001584995,0.001967672,0.004664917,0.0005491388,0.002729824,0.002153184,0.001415069,0.03682109],"category_scores_gemma":[0.02972516,0.00120516,0.001495113,0.007664522,0.001019241,0.002661298,0.00286836,0.00312758,0.01547949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000628365,"about_ca_system_score_gemma":0.001299296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138383,"about_ca_topic_score_gemma":0.002382151,"domain_scores_codex":[0.9949125,0.003036898,0.0005611969,0.0003718129,0.001039119,0.00007843288],"domain_scores_gemma":[0.9503531,0.04515722,0.001134093,0.001735289,0.001105122,0.0005152382],"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":[0.0001542841,0.0001028046,0.003207873,0.004070475,0.0006503065,0.0007347129,0.000656734,0.002445069,0.002258332,0.02123779,0.3358387,0.6286429],"study_design_scores_gemma":[0.0002523243,0.000162773,0.0242279,0.003200299,0.0003658904,0.005471278,0.0005911201,0.02332194,0.002086281,0.129675,0.8104122,0.0002329563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003581727,0.03626207,0.8728988,0.006850078,0.001903458,0.001126312,0.01191333,0.03879305,0.02667128],"genre_scores_gemma":[0.0136981,0.01823971,0.9387293,0.00226154,0.0008982159,0.003020786,0.006402172,0.005218543,0.0115315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03682109,"threshold_uncertainty_score":0.1231788,"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."}}