{"id":"W2063942008","doi":"10.1359/jbmr.2002.17.10.1752","title":"Mapping Quantitative Trait Loci That Influence Femoral Cross-sectional Area in Mice","year":2002,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; Fondation Pour La Conservation Du Saumon Atlantique","keywords":"Quantitative trait locus; Inbred strain; Biology; Population; Locus (genetics); Bone mineral; Genetics; Endocrinology; Internal medicine; Gene; Osteoporosis; Medicine","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":[0.0006007614,0.0007268199,0.0004188717,0.002288396,0.0003321932,0.0003989694,0.0006612029,0.0006759975,0.003329511],"category_scores_gemma":[0.0004310335,0.0006825601,0.0005271497,0.000868103,0.0004648527,0.0001649121,0.0004303205,0.000900753,0.0006801245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512435,"about_ca_system_score_gemma":0.0003600423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626768,"about_ca_topic_score_gemma":0.003417279,"domain_scores_codex":[0.99931,0.0001077248,0.00007112844,0.0002610126,0.0001470539,0.0001031051],"domain_scores_gemma":[0.9989192,0.000275557,0.0004819981,0.00008432375,0.00007034657,0.0001684239],"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":[0.0003188043,0.00008685514,0.001946181,0.00003079307,0.00001988912,0.00007316963,0.00006048173,0.0001460211,0.9944943,0.0001660286,0.00005987231,0.002597703],"study_design_scores_gemma":[0.0006963566,0.001646797,0.2779348,0.0001251906,0.0003491828,0.001930902,0.0002476138,0.008099505,0.6988,0.0006577391,0.009409871,0.0001020653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814538,0.0005836863,0.01259111,0.00008878963,0.0000212397,0.0001476651,0.003808388,0.0002827008,0.001022516],"genre_scores_gemma":[0.9452934,0.001224032,0.03816062,0.0001999175,0.00003705374,0.001059125,0.005801454,0.0004202194,0.007804197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003329511,"threshold_uncertainty_score":0.01113832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941914881408374,"score_gpt":0.4196408696429623,"score_spread":0.2254493815021249,"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."}}