{"id":"W4221046066","doi":"10.1021/acsapm.2c00006","title":"Modeling of Thermo-Responsive Stiffening of Poly(oligo(ethylene glycol)methacrylate)–Cellulose Nanocrystal Hydrogels","year":2022,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Stiffening; Materials science; Ethylene glycol; Methacrylate; Polymer chemistry; Chemical engineering; Polymer; Solvent; Dynamic mechanical analysis; Composite material; Monomer; Chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006084121,0.0003324565,0.0005704737,0.0001445575,0.0001897991,0.00002205862,0.0006198296,0.0001823528,0.0004493993],"category_scores_gemma":[0.00003862169,0.0003397848,0.0001197624,0.0002097694,0.0001695625,0.000007234555,0.0007172182,0.0001121552,0.00001171211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003376759,"about_ca_system_score_gemma":0.0001886811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004080866,"about_ca_topic_score_gemma":0.000004002371,"domain_scores_codex":[0.9975135,0.0002465862,0.0008574863,0.0005763096,0.0003708041,0.000435322],"domain_scores_gemma":[0.9985086,0.0000425035,0.000427293,0.0008473358,0.0000807006,0.00009358062],"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":[0.0007521819,0.000143097,0.000009593603,0.00005190367,0.0001979657,0.000001641501,0.0004238041,0.000813279,0.9954037,0.0005144707,0.00004137589,0.001646979],"study_design_scores_gemma":[0.0005515175,0.0001386743,0.000009198093,0.00001333505,0.00008546113,0.00001394421,0.0003505058,0.0001034068,0.9973543,0.0001580628,0.0008826227,0.0003389601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944165,0.003194855,0.0004950461,0.00007261215,0.0001325953,0.0005989187,0.0005658548,0.00003127081,0.000492356],"genre_scores_gemma":[0.9980558,0.00006764454,0.0004318536,0.0001390507,0.0001263976,0.0005374756,0.0001993692,0.0001008781,0.0003415198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003639319,"threshold_uncertainty_score":0.9999054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432962400782974,"score_gpt":0.2317593770764291,"score_spread":0.2174297530685994,"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."}}