{"id":"W2765985338","doi":"10.1016/j.jbiomech.2017.10.018","title":"Examining tissue composition, whole-bone morphology and mechanical behavior of GorabPrx1 mice tibiae: A mouse model of premature aging","year":2017,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Children's Hospital; McGill University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; Seventh Framework Programme; Shriners Hospitals for Children","keywords":"Tibia; Cortical bone; Anatomy; Femur; Chemistry; Materials science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005651845,0.0001408907,0.00038088,0.0001527468,0.00009886801,0.00002614792,0.0003872752,0.0002325577,0.000007675701],"category_scores_gemma":[0.0001932378,0.0001366381,0.00007950844,0.0000552389,0.0001220451,0.00001821626,0.0003149978,0.0002168252,5.616789e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001591909,"about_ca_system_score_gemma":0.00009170109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000154391,"about_ca_topic_score_gemma":0.00001128589,"domain_scores_codex":[0.998795,0.00007765402,0.0004579215,0.0002132186,0.0002534234,0.0002028027],"domain_scores_gemma":[0.9982024,0.00002318163,0.0007576267,0.0003939271,0.0005217255,0.0001011351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001821075,0.0001717181,0.00007921594,0.00008170948,0.00007038166,0.00001775131,0.00008170618,0.00001699114,0.9916007,0.00008427298,0.00009170049,0.007521762],"study_design_scores_gemma":[0.001071827,0.000907127,0.0000944314,0.0000787606,0.00007599936,0.0002202196,0.0001633259,0.002770413,0.9941537,0.0002541668,0.00008407408,0.0001259628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834856,0.001181149,0.01474268,0.0002548327,0.00007564585,0.0001622733,0.00007734516,0.00000229976,0.00001813628],"genre_scores_gemma":[0.9947468,0.0003103053,0.004679661,0.00002472181,0.00005117696,0.000003319022,0.00001496578,0.00002359316,0.0001454441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126118,"threshold_uncertainty_score":0.5571939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650352172080443,"score_gpt":0.3219904352765602,"score_spread":0.2854869135557558,"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."}}