{"id":"W1968707321","doi":"10.1016/j.dental.2014.12.007","title":"Water distribution in dentin matrices: Bound vs. unbound water","year":2015,"lang":"en","type":"article","venue":"Dental Materials","topic":"Dental materials and restorations","field":"Dentistry","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; King Abdulaziz University","keywords":"Bound water; Dentin; Relative humidity; Materials science; Acetone; Dehydration; Evaporation; Layer (electronics); Analytical Chemistry (journal); Chemistry; Chromatography; Composite material; Molecule; Thermodynamics","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":[0.0003139368,0.0003227176,0.0002484401,0.0003497039,0.0003829015,0.001153584,0.0002708642,0.0004709176,0.002927447],"category_scores_gemma":[0.0005867776,0.000321284,0.0001719228,0.0002460824,0.000675945,0.001494399,0.0004342097,0.0005247103,0.0004334678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465004,"about_ca_system_score_gemma":0.0002923596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021475,"about_ca_topic_score_gemma":0.001950947,"domain_scores_codex":[0.9995759,0.00006678095,0.00001574047,0.0001419711,0.00008142629,0.0001182358],"domain_scores_gemma":[0.9997659,0.0001061406,0.00003043788,0.00001269489,0.0000592679,0.00002566367],"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":[0.0009871988,0.00003797084,0.003227059,0.0002603192,0.00003850433,0.0001295985,0.0003048817,0.0006321158,0.9847162,0.001022218,0.0001676935,0.008476349],"study_design_scores_gemma":[0.00002682408,0.0003626168,0.01051602,0.00003354907,0.00005580705,0.0001870549,0.001168878,0.007677671,0.9749683,0.001066165,0.003895308,0.00004172884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789941,0.004248095,0.01113281,0.0001402735,0.00007266598,0.0000261953,0.0003958344,0.00006173124,0.004928234],"genre_scores_gemma":[0.9951616,0.0009203356,0.001553758,0.00004406343,0.00001551701,0.00001226662,0.0001195873,0.00003275269,0.002140125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002927447,"threshold_uncertainty_score":0.009793282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116819694367423,"score_gpt":0.2706774830457999,"score_spread":0.2495092861021257,"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."}}