{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040492,0.0002935555,0.0001948564,0.001297295,0.0001941811,0.0004107959,0.0003481048,0.0008279817,0.002460045],"category_scores_gemma":[0.0005052299,0.0004034619,0.0001806374,0.000611899,0.0002963083,0.0004426552,0.0004331046,0.0004756573,0.0004693558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986348,"about_ca_system_score_gemma":0.0002119955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009048885,"about_ca_topic_score_gemma":0.001539402,"domain_scores_codex":[0.9998386,0.00001779851,0.000007376864,0.00002509618,0.00009130202,0.0000198483],"domain_scores_gemma":[0.9997299,0.0001217987,0.00003623078,0.00003633622,0.0000514605,0.0000242384],"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":[0.0001526762,0.00004472806,0.002104738,0.0002381676,0.00001565515,0.001043455,0.0002779254,0.004753809,0.9712396,0.0006215961,0.0004262925,0.01908136],"study_design_scores_gemma":[0.00006250176,0.0004621625,0.1001748,0.0001797605,0.00006438776,0.01605193,0.000715816,0.1821193,0.6775134,0.002338905,0.02012875,0.0001883208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8157588,0.005261246,0.1643713,0.0003957606,0.00009483673,0.0002080788,0.001436843,0.001298495,0.01117462],"genre_scores_gemma":[0.8824911,0.001985569,0.1103822,0.0001391574,0.00004894743,0.0001219461,0.0004736421,0.0001127641,0.0042448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002460045,"threshold_uncertainty_score":0.008229613,"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."}}