{"id":"W3197742029","doi":"10.1101/2021.08.31.21262730","title":"Nanomechanical and molecular characterization of aging in dentinal collagen","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Dentin; Demineralization; Dentinal Tubule; Crown (dentistry); Chemistry; Glycation; Ultrastructure; Nanoindentation; Collagen fibril; Matrix (chemical analysis); Methylglyoxal; Root caries; Biophysics; Dentistry; Materials science; Anatomy; Composite material; Biochemistry; Biology; Enamel paint; Medicine; Chromatography","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":[0.0002021637,0.0001526829,0.00007590729,0.0005392218,0.0001143555,0.0001241735,0.00007370624,0.0001661093,0.0006633091],"category_scores_gemma":[0.0001913262,0.0001079272,0.00009981966,0.0002589295,0.000138182,0.0001495207,0.0001096761,0.0001394548,0.0001062042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006683682,"about_ca_system_score_gemma":0.00006543711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007019286,"about_ca_topic_score_gemma":0.0009222514,"domain_scores_codex":[0.9999255,0.00001218603,0.000006934287,0.00001872515,0.00002411388,0.00001260995],"domain_scores_gemma":[0.9997825,0.00003663165,0.00006987024,0.00001359288,0.00006801538,0.00002944447],"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":[0.00007641439,0.000008470511,0.006210243,0.00004649576,0.000005948903,0.00006685493,0.00004601603,0.00003312214,0.9918652,0.00001445595,0.00000949379,0.001617334],"study_design_scores_gemma":[0.000007317684,0.0005001815,0.5137876,0.00001772222,0.00005079838,0.001480109,0.0004468303,0.001727386,0.4797877,0.0000775075,0.00210256,0.00001436038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956027,0.001631342,0.002168704,0.0000127055,0.000009309681,0.00001220731,0.0002398863,0.000008689371,0.0003145359],"genre_scores_gemma":[0.9952936,0.0006851451,0.003124022,0.00001821776,0.000007151113,0.00001736896,0.0002053752,0.000004247016,0.0006449886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007019286,"threshold_uncertainty_score":0.002219021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568226739020324,"score_gpt":0.2697469761248201,"score_spread":0.2540647087346169,"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."}}