{"id":"W2795484731","doi":"10.1002/jbio.201700368","title":"Whole‐field macro‐ and micro‐deformation characteristic of unbound water‐loss in dentin hard tissue","year":2018,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Dental materials and restorations","field":"Dentistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Dentin; Dentinal Tubule; Materials science; Composite material; Deformation (meteorology); Human tooth; Biomedical engineering; Enamel paint","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001099385,0.0001299503,0.0001146381,0.0002583826,0.0001541511,0.0001377455,0.0001432544,0.0002135324,0.0007256801],"category_scores_gemma":[0.0001474785,0.0001646219,0.0001003364,0.0001798808,0.0003279405,0.0002992178,0.0001958606,0.0001944603,0.00009841413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084636,"about_ca_system_score_gemma":0.0001106682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723365,"about_ca_topic_score_gemma":0.001171378,"domain_scores_codex":[0.9999338,0.000004927204,0.000003468921,0.00002118345,0.00002410778,0.00001247795],"domain_scores_gemma":[0.9999255,0.00001600215,0.00002347466,0.000009430332,0.00001381657,0.00001177276],"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":[0.00003301115,0.000006977096,0.001803208,0.00003501521,0.000004310875,0.00005320776,0.00006107926,0.0001306441,0.9953573,0.00004177281,0.00002311726,0.002450269],"study_design_scores_gemma":[0.000007781551,0.0002298176,0.3171759,0.0000136571,0.00002832941,0.001040055,0.0003957746,0.003832489,0.6753388,0.0003209624,0.001589588,0.00002685154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902816,0.0007775718,0.008140714,0.00002261973,0.000007343865,0.00001476984,0.0001526741,0.00002887919,0.0005738977],"genre_scores_gemma":[0.9949006,0.0003407857,0.003925887,0.00002144271,0.000005383348,0.00002141851,0.000102162,0.000009567047,0.0006727919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007256801,"threshold_uncertainty_score":0.002427638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000910704198171,"score_gpt":0.266025167872616,"score_spread":0.2560160608306343,"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."}}