{"id":"W2314496222","doi":"10.1107/s1600577516002198","title":"Synchrotron-radiation-based X-ray micro-computed tomography reveals dental bur debris under dental composite restorations","year":2016,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Waterloo; University of Saskatchewan","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Materials science; Dentistry; Amalgam (chemistry); Crown (dentistry); Debris; Medicine; Composite material; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002019256,0.0002198272,0.0001794414,0.00083835,0.0002309399,0.0003212316,0.0002321913,0.0004446554,0.001513353],"category_scores_gemma":[0.0002460118,0.000276085,0.0001702523,0.0003267668,0.0003088494,0.000168274,0.0002071852,0.0003555757,0.0002434187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394005,"about_ca_system_score_gemma":0.000477198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577133,"about_ca_topic_score_gemma":0.007855562,"domain_scores_codex":[0.9998785,0.000008547549,0.000006811412,0.00001528023,0.00006473159,0.0000260614],"domain_scores_gemma":[0.9998522,0.00003183803,0.00003587555,0.00001681714,0.00004009179,0.00002318313],"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":[0.0002309201,0.00002640128,0.008288992,0.00006742536,0.00001465215,0.001121629,0.0001534626,0.000162739,0.9848563,0.0001054433,0.0001559355,0.004815989],"study_design_scores_gemma":[0.00004290209,0.0003905011,0.3070832,0.00004556884,0.000115278,0.01518896,0.001017357,0.004426838,0.6677115,0.0001933045,0.00374548,0.00003907367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922205,0.001023759,0.005083393,0.000102092,0.00001152977,0.00002636192,0.0001679956,0.00008542598,0.001279051],"genre_scores_gemma":[0.9862621,0.000678623,0.01114898,0.00007843797,0.000006533659,0.00001804519,0.0001497655,0.00002091022,0.001636635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003577133,"threshold_uncertainty_score":0.007112622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005218092396867228,"score_gpt":0.2212029317694586,"score_spread":0.2159848393725914,"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."}}