{"id":"W2030531030","doi":"10.1016/j.polymdegradstab.2009.08.005","title":"Improving thermal and ozone stability of skim natural rubber by diimide reduction","year":2009,"lang":"en","type":"article","venue":"Polymer Degradation and Stability","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Diimide; Thermal stability; Natural rubber; Ozone; Reduction (mathematics); Materials science; Polymer science; Thermal; Chemical engineering; Composite material; Polymer chemistry; Chemistry; Organic chemistry; Molecule; Thermodynamics; Mathematics; Physics; Engineering","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":[0.0004544729,0.0001460719,0.0002175864,0.00003008695,0.0001573509,0.00006699667,0.00008013599,0.00005725962,0.0001668649],"category_scores_gemma":[0.00004406629,0.0001132975,0.0000360892,0.000085976,0.0002485249,0.0004468062,0.00004264749,0.00009075803,0.000001296275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002632724,"about_ca_system_score_gemma":0.00002820708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009272647,"about_ca_topic_score_gemma":0.00002044545,"domain_scores_codex":[0.9987589,0.0001569922,0.0003439125,0.0003489242,0.0001842433,0.000207084],"domain_scores_gemma":[0.9994287,0.00005231873,0.0001372125,0.0002374352,0.00005966825,0.00008459099],"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":[0.0001415936,0.00008465757,0.00535452,0.00003271654,0.000003018177,7.408048e-8,0.0005047846,5.831854e-8,0.9611428,0.00009503451,0.00001274764,0.03262803],"study_design_scores_gemma":[0.0002947074,0.0001064479,0.02665623,0.000007379329,0.00001710134,0.000004652022,0.0001850975,0.0002350092,0.9722332,0.0001014856,0.0000248195,0.0001339217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923381,0.006335717,0.0001043707,0.0006254202,0.0001495182,0.0001885416,0.00005044382,0.00004599202,0.0001618966],"genre_scores_gemma":[0.9995527,0.00003390083,0.0002248706,0.00005360964,0.00002728763,0.000005085049,0.00001813403,0.000005559376,0.00007881451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03249411,"threshold_uncertainty_score":0.4620136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288748167934484,"score_gpt":0.2210781398324783,"score_spread":0.2081906581531335,"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."}}