{"id":"W2031760304","doi":"10.1371/journal.pone.0022462","title":"Identification of Candidate Gene Regions in the Rat by Co-Localization of QTLs for Bone Density, Size, Structure and Strength","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Diabetesfonden; Greta och Johan Kocks stiftelser; Vetenskapsrådet; Novo Nordisk; Knut och Alice Wallenbergs Stiftelse; Lunds Universitet","keywords":"Quantitative trait locus; Genetic linkage; Bone mineral; Biology; Candidate gene; Genetics; Population; Chromosome regions; Chromosome; Osteoporosis; Linkage (software); Gene; Medicine; Endocrinology","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":[0.0001983672,0.0004814245,0.0004221975,0.0007799575,0.0001339862,0.0002104973,0.0002848081,0.0002215099,0.001702206],"category_scores_gemma":[0.0002485934,0.0002383373,0.0004283722,0.000314509,0.000227483,0.00008765901,0.0003319735,0.0003407466,0.000275361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747287,"about_ca_system_score_gemma":0.000210463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197527,"about_ca_topic_score_gemma":0.003310457,"domain_scores_codex":[0.9998004,0.00002163738,0.00001039002,0.00008137788,0.00004657749,0.0000396104],"domain_scores_gemma":[0.9996895,0.00006180406,0.0001319188,0.00002845986,0.00002762625,0.00006076493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007153736,0.0000648239,0.01076915,0.00004197429,0.00004840573,0.000267244,0.00005583103,0.0001798642,0.9810098,0.0001144696,0.00006060072,0.00667244],"study_design_scores_gemma":[0.00022271,0.001231215,0.770216,0.00002910441,0.0002998317,0.002901384,0.0001949511,0.002693634,0.2192386,0.0003793195,0.002537619,0.00005573322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962029,0.000341717,0.00268226,0.00004043752,0.000004949217,0.000008349196,0.0004641949,0.00007595106,0.0001792158],"genre_scores_gemma":[0.9882768,0.0003953231,0.008036624,0.00006220155,0.000007214464,0.00005850399,0.001159559,0.00004148618,0.001962361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197527,"threshold_uncertainty_score":0.005694509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380582841081093,"score_gpt":0.2170098820123982,"score_spread":0.1932040536015873,"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."}}