{"id":"W2133422341","doi":"10.1002/jbm.a.32679","title":"New predictive model for monitoring bone remodeling","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Toronto Metropolitan University","funders":"","keywords":"Bone remodeling; Materials science; Medullary cavity; Biomedical engineering; Finite element method; Cortical bone; Femur; Bone tissue; Mechanics; Structural engineering; Anatomy; Physics; Engineering; Medicine","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":[0.008304939,0.0001525522,0.0006584598,0.0006648913,0.000227073,0.0001013567,0.0002829213,0.0003438563,0.0003609156],"category_scores_gemma":[0.004528804,0.0001102238,0.0001562066,0.0003669861,0.0002737601,0.0001986225,0.0001347342,0.001402939,0.00002576691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315106,"about_ca_system_score_gemma":0.002993093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005087418,"about_ca_topic_score_gemma":0.000003681096,"domain_scores_codex":[0.9951382,0.0001591149,0.001131129,0.0002590677,0.002335156,0.0009773497],"domain_scores_gemma":[0.9952511,0.0004842214,0.0002295614,0.000313089,0.001685256,0.002036831],"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":[0.004097756,0.0002365431,0.0001459385,0.0003800743,0.00004869199,0.00007307089,0.0002394604,0.000006051999,0.9457383,0.00005921058,0.03328395,0.01569098],"study_design_scores_gemma":[0.02380115,0.01524309,0.003869502,0.004035932,0.000228877,0.002475003,0.0009297053,0.05199895,0.6936859,0.01193758,0.1911053,0.0006890107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727752,0.0003771626,0.01286553,0.01064372,0.002088807,0.001028918,0.00005850317,0.00002738389,0.0001348134],"genre_scores_gemma":[0.9462735,0.0006224514,0.04222766,0.00009901329,0.009155405,0.00005150121,0.00001533871,0.00005418304,0.001500964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520524,"threshold_uncertainty_score":0.6095149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269733894089213,"score_gpt":0.4580005197843994,"score_spread":0.3310271303754781,"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."}}