{"id":"W3027466264","doi":"10.1016/j.matlet.2020.128011","title":"In-situ Raman spectroscopy: An effective technique for the quantification of LCST transition of methylcellulose hydrogels","year":2020,"lang":"en","type":"article","venue":"Materials Letters","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Regione Lombardia; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation","keywords":"Lower critical solution temperature; Raman spectroscopy; Self-healing hydrogels; Materials science; Analytical Chemistry (journal); In situ; Spectroscopy; Polymer; Polymer chemistry; Chemistry; Optics; Chromatography; Composite material; Organic chemistry; Copolymer","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":[0.0006564739,0.0008840312,0.000279791,0.0005349266,0.0003498316,0.0004469774,0.0007295638,0.0007735338,0.001760648],"category_scores_gemma":[0.0006237137,0.0004088557,0.000269218,0.0003092937,0.0004440543,0.0006489355,0.0004526458,0.001256341,0.0005259479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189432,"about_ca_system_score_gemma":0.0003007849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314276,"about_ca_topic_score_gemma":0.001694819,"domain_scores_codex":[0.9994559,0.0001157908,0.00002448309,0.0001321242,0.0002119062,0.00005982941],"domain_scores_gemma":[0.9993789,0.00026299,0.0001249257,0.00007462592,0.0001093516,0.0000490707],"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":[0.000008501721,0.000006907989,0.00004682409,0.00002117814,0.000002169427,0.000009193569,0.00001369859,0.00001889987,0.9984083,0.00005661448,0.00003261701,0.001375159],"study_design_scores_gemma":[0.000001096128,0.00001593592,0.0002996642,0.000002203941,0.000004174331,0.00003830901,0.000009549692,0.0008867773,0.9982699,0.00002433994,0.0004439931,0.000004081979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6478649,0.004334432,0.3371479,0.0009067428,0.000261317,0.0001461454,0.0007261248,0.001200202,0.007412239],"genre_scores_gemma":[0.8188778,0.003371342,0.1666459,0.0004071576,0.0001385065,0.0001610195,0.0004135501,0.0002635526,0.009721264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001760648,"threshold_uncertainty_score":0.005890012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590387004973918,"score_gpt":0.2568709639903846,"score_spread":0.2409670939406454,"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."}}