{"id":"W2576132824","doi":"10.1002/cjce.22781","title":"Thermogravimetric characterization of ex situ polymethacrylate (EDMA‐co‐GMA) monoliths","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermogravimetric analysis; Glycidyl methacrylate; Chemical engineering; Thermal stability; Degradation (telecommunications); Monolith; Polymer chemistry; Materials science; Methacrylate; Ethylene glycol dimethacrylate; Polymer; Ethylene glycol; Activation energy; Kinetics; Chemistry; Polymerization; Organic chemistry; Catalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003180514,0.0003248627,0.000191783,0.000522611,0.0001623675,0.0001947023,0.0001787573,0.0002902474,0.0008630579],"category_scores_gemma":[0.000337962,0.0001977779,0.0002381318,0.0003385622,0.0002176033,0.0002839583,0.0001318116,0.0005571358,0.0002272092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526698,"about_ca_system_score_gemma":0.0001273334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007655064,"about_ca_topic_score_gemma":0.001209756,"domain_scores_codex":[0.9998096,0.00001989414,0.0000133086,0.00004776485,0.00008364115,0.00002576091],"domain_scores_gemma":[0.9998205,0.00005955892,0.00003833001,0.0000145967,0.00005074551,0.0000161385],"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":[0.00001484089,0.000005025525,0.0001297656,0.00001177567,0.000002780771,0.00000702154,0.00001083875,0.0000807992,0.9992923,0.0000154477,0.000005132749,0.0004243819],"study_design_scores_gemma":[0.000001698538,0.00003865084,0.003599399,0.000002330326,0.000005627315,0.00003110463,0.00001062311,0.0009676211,0.9950238,0.00001964171,0.0002960357,0.000003602855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835971,0.0009423068,0.01341246,0.0000387538,0.00001992449,0.00004001938,0.0007226333,0.0001014727,0.001125246],"genre_scores_gemma":[0.9869844,0.0004284458,0.009929221,0.00003340525,0.000006837412,0.00003824251,0.0004913558,0.0000520053,0.002036197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008630579,"threshold_uncertainty_score":0.002887189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999281320238733,"score_gpt":0.2087201566297318,"score_spread":0.1987273434273445,"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."}}