{"id":"W2017627984","doi":"10.1016/j.actbio.2010.10.007","title":"Lattice strains and load partitioning in bovine trabecular bone","year":2010,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Compression (physics); Composite material; Synchrotron; Trabecular bone; Mechanical load; Apatite; Deformation (meteorology); Elastic energy; Diffraction; Crystallography; Biomedical engineering; Optics; Mineralogy; Osteoporosis; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815295,0.0001974288,0.0002263711,0.000972071,0.0004333144,0.0007826873,0.0004404261,0.0004228391,0.001467912],"category_scores_gemma":[0.0009101445,0.0004185311,0.0001014164,0.0005054448,0.0006988698,0.0004284471,0.0002989806,0.0003289344,0.0003543868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005179701,"about_ca_system_score_gemma":0.0003542796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007321309,"about_ca_topic_score_gemma":0.006528064,"domain_scores_codex":[0.9997539,0.00004862263,0.00001738583,0.00003897196,0.00009698755,0.00004407435],"domain_scores_gemma":[0.9992388,0.0003005936,0.0001664636,0.0000510114,0.0001086432,0.0001344648],"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":[0.002101106,0.0001366765,0.01149505,0.00006632505,0.000022993,0.0001494346,0.0003247052,0.004712302,0.9718472,0.001130783,0.00006944907,0.007944062],"study_design_scores_gemma":[0.0001985815,0.0007523212,0.3676381,0.00005092948,0.00009965566,0.0009676435,0.00147341,0.06476386,0.559343,0.003101726,0.001523149,0.00008756144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977671,0.0003338563,0.001098092,0.00002014529,0.00000318416,0.00000239919,0.00006576359,0.00001649741,0.0006929823],"genre_scores_gemma":[0.9991542,0.00006761684,0.0002406539,0.000006236553,0.000001856409,0.000003599111,0.00005094023,0.00001160545,0.0004632112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007321309,"threshold_uncertainty_score":0.01455736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705672956160098,"score_gpt":0.2362661156692336,"score_spread":0.2295604427130735,"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."}}