{"id":"W2142523636","doi":"10.3844/ajassp.2009.449.455","title":"Using a Truss-Inspired Model with the Uniform Strength Optimization Theory to Predict Spongy Bone Geometry in Proximal Femur","year":2009,"lang":"en","type":"article","venue":"American Journal of Applied Sciences","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Sharif University of Technology; University of Ottawa","keywords":"Truss; Femur; Structural engineering; Mathematics; Geometry; Strain (injury); Anatomy; Mathematical analysis; Engineering; Geology","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":[0.001040546,0.0001274364,0.0003173947,0.0003475508,0.0001672265,0.00004262904,0.0001597339,0.00001895998,0.00001755529],"category_scores_gemma":[0.00002905854,0.00006506855,0.00004059451,0.001182931,0.0005424873,0.0001537105,0.00001822694,0.000198572,6.041527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000484133,"about_ca_system_score_gemma":0.0004070181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000612088,"about_ca_topic_score_gemma":0.000004530794,"domain_scores_codex":[0.9986284,0.00002746601,0.0003304955,0.0001698109,0.0005566721,0.0002871128],"domain_scores_gemma":[0.9992741,0.00006010393,0.0003429793,0.0001083549,0.00005914174,0.0001553553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002634048,0.0002491973,0.003686962,0.000006135274,0.00003039141,0.00006580297,0.002083,0.8225796,0.00147244,0.001783822,0.00003813248,0.1653705],"study_design_scores_gemma":[0.006660599,0.01874245,0.03339296,0.0006544947,0.0003107675,0.003163348,0.0375336,0.8960605,0.00158257,0.0007014656,0.0004342408,0.0007629808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566423,0.00002305231,0.03993788,0.001091406,0.00002554326,0.0002177213,0.000003006931,0.00000821625,0.002050928],"genre_scores_gemma":[0.940194,0.00001518892,0.05872728,0.0009487096,0.0000871922,0.000001100157,5.248041e-7,0.000006553954,0.00001946747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646075,"threshold_uncertainty_score":0.2653419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554344508404327,"score_gpt":0.2656227270368028,"score_spread":0.2500792819527596,"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."}}