{"id":"W2106716058","doi":"10.1002/cjce.21741","title":"Kinetic analysis and modelling of thermal degradation of perspex (PMMA) and perspex blend plastic waste","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Thermal decomposition; Char; Activation energy; Decomposition; Pyrolytic carbon; Inert gas; Thermogravimetric analysis; Pyrolysis; Chemical engineering; Chemical process of decomposition; Degradation (telecommunications); Composite material; Order of reaction; Kinetics; Reaction rate constant; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000207722,0.00006244301,0.0001568464,0.0001312435,0.00002377139,0.00001895442,0.00008384659,0.00002862636,0.00004990718],"category_scores_gemma":[0.00006518648,0.00004410805,0.00003482953,0.0001261813,0.00008135763,0.00011251,0.000009159626,0.00006665639,1.471812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363721,"about_ca_system_score_gemma":0.00005231657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005923638,"about_ca_topic_score_gemma":0.00003099904,"domain_scores_codex":[0.9994982,0.00001404612,0.0002009333,0.00004131512,0.0001075955,0.0001379399],"domain_scores_gemma":[0.9995458,0.000062951,0.00009813657,0.00005619503,0.00005713156,0.0001798101],"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":[0.000008199569,0.00000250981,0.0004138677,0.00003042934,0.00004103164,4.171926e-7,0.001402029,0.09996466,0.8978925,0.0001839823,0.000001311096,0.00005911664],"study_design_scores_gemma":[0.0001312809,0.0000166102,0.000252934,0.00005144097,0.0002091164,0.00002053471,0.0001919148,0.1401523,0.8588823,0.000009178946,0.00001210235,0.00007027744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879265,0.002271797,0.009647151,0.00005939849,0.00004757718,0.00001811602,0.000005163315,0.000001753887,0.00002248492],"genre_scores_gemma":[0.9993022,0.00001123125,0.0006205706,0.000005604889,0.00004561233,2.369154e-7,5.151444e-7,0.000005945643,0.000008061559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04018764,"threshold_uncertainty_score":0.1798674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730090367178762,"score_gpt":0.182628532716099,"score_spread":0.1653276290443114,"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."}}