{"id":"W2061715438","doi":"10.1080/03602550600609143","title":"High-Temperature Bulk Copolymerization of Methyl Methacrylate and Acrylonitrile: III. Thermal Polymerization","year":2006,"lang":"en","type":"article","venue":"Polymer-Plastics Technology and Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acrylonitrile; Copolymer; Reactivity (psychology); Methyl methacrylate; Materials science; Polymer chemistry; Polymerization; Atmospheric temperature range; Glass transition; Methacrylate; Thermodynamics; Polymer; Composite material; Physics","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":[0.00004342395,0.0002934186,0.000371238,0.0003585228,0.0001219985,0.00002649159,0.0001179643,0.000440249,0.00007662479],"category_scores_gemma":[0.00003501471,0.0003022226,0.00003279988,0.0004554833,0.0001607978,0.0001623569,0.00007844007,0.0002466993,9.500932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001421101,"about_ca_system_score_gemma":0.00001644709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005018604,"about_ca_topic_score_gemma":0.000002089993,"domain_scores_codex":[0.9988382,0.000006068608,0.0003989056,0.0003206708,0.0001308908,0.0003052496],"domain_scores_gemma":[0.9994077,0.00008199034,0.0001949785,0.0002171948,0.00004159774,0.00005653089],"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":[0.00002904711,0.00003038215,0.001415177,0.0001051145,0.00004907056,0.000003227201,0.00003877932,0.000508361,0.9779969,0.01468345,0.000001797208,0.005138731],"study_design_scores_gemma":[0.0004764671,0.00002611871,0.0008998252,0.00007819889,0.00007926592,0.00002293064,0.00004875453,0.00217601,0.9956986,0.0001046121,0.0001045916,0.0002846169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877725,0.005264426,0.006188871,0.0001223193,0.0001682708,0.0000546501,0.00005597906,0.0002750598,0.00009798732],"genre_scores_gemma":[0.9980205,0.0002660112,0.001165301,0.00001086353,0.0001373815,0.00002030118,0.000098301,0.00005359099,0.0002277092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01770175,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002029438013542963,"score_gpt":0.1713617454352317,"score_spread":0.1693323074216888,"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."}}