{"id":"W3196642125","doi":"10.1098/rsif.2021.0181","title":"From tissue retrieval to electron tomography: nanoscale characterization of the interface between bone and bioactive glass","year":2021,"lang":"en","type":"article","venue":"Journal of The Royal Society Interface","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Electron tomography; Osseointegration; Bioactive glass; Materials science; Biomedical engineering; Transmission electron microscopy; Nanoscopic scale; Characterization (materials science); Nanotechnology; Scanning electron microscope; Scanning transmission electron microscopy; Medicine; Composite material; Surgery; Implant","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":[0.0002120917,0.0001631961,0.0003567698,0.00002090724,0.00004650282,0.0000511214,0.0002641937,0.000113692,0.00003464579],"category_scores_gemma":[0.0000611344,0.0001142652,0.0001883753,0.000252894,0.00004588663,0.0000892853,0.0001655256,0.0003368544,0.000002544034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215604,"about_ca_system_score_gemma":0.00002485222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001529454,"about_ca_topic_score_gemma":0.000001928639,"domain_scores_codex":[0.9989665,0.0000729536,0.0004261464,0.0001142978,0.0002398522,0.0001802612],"domain_scores_gemma":[0.9993222,0.00006349861,0.0002031863,0.0002312609,0.000113869,0.000066036],"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":[0.00002490917,0.00001257888,0.0002526488,0.00003906219,0.0002343356,6.245551e-7,0.001915123,0.01144246,0.9852528,0.000001330151,0.0005256525,0.0002984663],"study_design_scores_gemma":[0.0002079771,0.00006957512,0.016473,0.000250881,0.00008750347,0.000007986399,0.0001206525,0.00120839,0.9793985,0.00003289738,0.002028726,0.0001139153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588821,0.0006760031,0.03827509,0.0008399316,0.001096817,0.0001183577,0.00007371133,0.00002379718,0.00001419418],"genre_scores_gemma":[0.9986106,0.0000328851,0.0007569425,0.00002051683,0.0002678016,8.349671e-7,0.000001505684,0.00003213836,0.0002767333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03972854,"threshold_uncertainty_score":0.4659601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00528974733895239,"score_gpt":0.2262847230512889,"score_spread":0.2209949757123365,"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."}}