{"id":"W2160854795","doi":"10.1002/app.23226","title":"High temperature bulk copolymerization of methyl methacrylate and acrylonitrile. I. Reactivity ratio estimation","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Acrylonitrile; Reactivity (psychology); Copolymer; Methyl methacrylate; Polymer chemistry; Materials science; Phase (matter); Methacrylate; Thermodynamics; Chemistry; Organic chemistry; Polymer; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003957473,0.0001853994,0.0003616244,0.000220552,0.0001927718,0.00008900166,0.0002640729,0.0001091793,0.00007744274],"category_scores_gemma":[0.00002311837,0.000158944,0.00005766128,0.0005727956,0.000371346,0.000773477,0.00005009518,0.000204846,0.000001032059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005024775,"about_ca_system_score_gemma":0.0001794711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004116577,"about_ca_topic_score_gemma":0.000001386238,"domain_scores_codex":[0.998287,0.0000116499,0.0006310066,0.0002430635,0.0006032828,0.000223985],"domain_scores_gemma":[0.9982887,0.00008749506,0.001118989,0.0002255468,0.0001816842,0.00009761994],"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":[0.00009386597,0.00006604612,0.0001135682,0.00002904106,0.00001230483,0.000001458741,0.0001456988,0.0001850233,0.9724598,0.003575283,0.000006677075,0.02331126],"study_design_scores_gemma":[0.0003943372,0.00002611719,0.001076823,0.00004435037,0.00005118786,0.00002638634,0.00008255091,0.0006204522,0.9969251,0.000557935,0.00004161087,0.0001531724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960508,0.0009221671,0.001868114,0.0001308845,0.000146174,0.00004900507,0.00001497742,0.00001705132,0.0008008645],"genre_scores_gemma":[0.9968618,0.00006542019,0.002719804,0.00003404576,0.0001839438,0.000003621018,0.000008534452,0.00001661452,0.0001062881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0244653,"threshold_uncertainty_score":0.648155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004367202731959788,"score_gpt":0.2208222033718391,"score_spread":0.2164550006398793,"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."}}