{"id":"W3017183553","doi":"10.1002/pol.20200109","title":"Incorporation of <scp>POSS</scp> to improve thermal stability of <scp>bio‐based</scp> polymethacrylates by <scp>nitroxide‐mediated</scp> polymerization: Polymerization kinetics and characterization","year":2020,"lang":"en","type":"article","venue":"Journal of Polymer Science","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University","keywords":"Copolymer; Polymer chemistry; Materials science; Polymerization; Silsesquioxane; Differential scanning calorimetry; Thermal stability; Comonomer; Dispersity; Glass transition; Chemical engineering; Polymer; Composite material","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":[0.001118558,0.000465159,0.0008074352,0.0003877686,0.0002387802,0.0002505395,0.001014634,0.0002546254,0.00004141757],"category_scores_gemma":[0.00302592,0.0004283038,0.0001578122,0.002182699,0.001110021,0.001583034,0.0002681337,0.0003005085,0.000009352492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008842001,"about_ca_system_score_gemma":0.0008624593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005857107,"about_ca_topic_score_gemma":0.000001604002,"domain_scores_codex":[0.9950492,0.0002080059,0.001757721,0.0007441111,0.001553995,0.0006869936],"domain_scores_gemma":[0.9945294,0.0007846405,0.002557987,0.0005031831,0.0008524355,0.0007723136],"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":[0.00002062676,0.0001953406,0.01431949,0.0001318095,0.00001868108,0.000004323331,0.002590999,0.00002635419,0.9817132,0.00003638643,0.00008214625,0.0008605862],"study_design_scores_gemma":[0.0007510106,0.0008704328,0.01082098,0.00007972582,0.0000791541,0.00001867412,0.001123138,0.0009094221,0.9851841,0.00001770366,0.0000635731,0.00008213057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905391,0.001375435,0.006177317,0.0005187875,0.0005199793,0.0003293178,0.000336159,0.000051061,0.0001527816],"genre_scores_gemma":[0.998062,0.0000575591,0.0006913856,0.0006799067,0.0003091394,0.000009425802,0.00006901918,0.00004481445,0.00007678258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007522805,"threshold_uncertainty_score":0.9998169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173821929788045,"score_gpt":0.2248968229441123,"score_spread":0.2131586036462318,"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."}}