{"id":"W2904068226","doi":"10.3390/ma11122533","title":"3D Imaging of Indentation Damage in Bone","year":2018,"lang":"en","type":"article","venue":"Materials","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council","keywords":"Indentation; Materials science; Brittleness; Deformation (meteorology); Plasticity; Stiffness; Microstructure; Fracture (geology); Interconnectivity; Resilience (materials science); Composite material; Stress shielding; Computer science","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":[0.0001725919,0.00004112525,0.00009276246,0.00004770369,0.000006088329,0.00001166676,0.00003768555,0.0000176849,0.0006154584],"category_scores_gemma":[0.00001046498,0.00004014655,0.000006378949,0.000052214,0.000008890074,0.00006520986,0.0000157622,0.0000143748,0.00007024124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009066769,"about_ca_system_score_gemma":0.000001836408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002830197,"about_ca_topic_score_gemma":0.000008759562,"domain_scores_codex":[0.999671,0.00001341727,0.0001520347,0.00004398299,0.00004873927,0.00007082227],"domain_scores_gemma":[0.9998853,0.000002669725,0.00001895569,0.00007198602,0.00001123822,0.000009909241],"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":[0.000003426027,0.000003755902,0.0001653288,0.00004287886,0.000001983016,0.000002137753,0.0001832719,0.000006384428,0.9982613,0.0005698103,0.0001285496,0.0006311307],"study_design_scores_gemma":[0.0001264867,0.000006872714,0.003373399,0.00002219821,0.000002431482,0.00000136448,0.00002154747,0.001110717,0.9938945,0.001012075,0.0003814965,0.00004689852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960648,0.00002303991,0.0005032558,0.000004608487,0.001320996,0.0000456968,0.000008698515,0.00003768908,0.001991181],"genre_scores_gemma":[0.9989749,0.00000486606,0.0008286093,0.00001304617,0.0000717685,0.00000318095,0.000006241324,0.000008925519,0.00008852389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004366829,"threshold_uncertainty_score":0.6738838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685257294619927,"score_gpt":0.2165200686173524,"score_spread":0.2078348113227325,"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."}}