{"id":"W2156725413","doi":"10.1007/s00223-008-9150-5","title":"The Magnitude and Rate of Bone Loss in Ovariectomized Mice Differs Among Inbred Strains as Determined by Longitudinal In vivo Micro-Computed Tomography","year":2008,"lang":"en","type":"article","venue":"Calcified Tissue International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ovariectomized rat; Tibia; Osteoporosis; In vivo; Femur; Inbred strain; Quantitative computed tomography; Internal medicine; Bone density; Endocrinology; Medicine; Biology; Anatomy; Surgery; Estrogen; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447221,0.000172008,0.0003940879,0.0003918413,0.00008388229,0.00002516473,0.0001748556,0.000130646,0.00009523804],"category_scores_gemma":[0.0002820964,0.0001409614,0.00006525216,0.000367739,0.0004889365,0.00008959444,0.00007881573,0.000374065,0.000004403988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009565063,"about_ca_system_score_gemma":0.0001464562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653609,"about_ca_topic_score_gemma":0.0005846575,"domain_scores_codex":[0.9982085,0.0001269541,0.0006147127,0.0003255197,0.0003529342,0.0003714187],"domain_scores_gemma":[0.9989603,0.0003436605,0.0001370222,0.0001749016,0.0001916922,0.0001924595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004292616,0.0004781256,0.7753657,0.0001148239,0.0001009224,0.0009461986,0.0007467145,0.000004873581,0.2132155,0.0001056865,0.00162522,0.003003609],"study_design_scores_gemma":[0.008538527,0.0002054639,0.9504901,0.0001432112,0.00001038932,0.0001979331,0.00006668313,0.0006267302,0.03872788,0.00008838151,0.0007750274,0.0001296839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964572,0.0006736193,0.00005437475,0.001594855,0.0001650637,0.0005955285,0.00005117746,0.00001769868,0.0003904581],"genre_scores_gemma":[0.9983494,0.0003054873,0.000271162,0.0001831746,0.00005747312,0.00005333138,0.00005271988,0.00001812916,0.0007090994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751244,"threshold_uncertainty_score":0.5748241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971689134217931,"score_gpt":0.3147663067333153,"score_spread":0.295049415391136,"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."}}