{"id":"W2891791921","doi":"10.1002/app.46622","title":"A novel approach for synthesis of poly(norbornene)‐<i>co</i>‐poly(styrene) block copolymers via metathesis polymerization and free‐radical polymerization","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Soochow University; National Natural Science Foundation of China","keywords":"Chain transfer; Copolymer; Polymerization; Living free-radical polymerization; Polymer chemistry; Norbornene; Living polymerization; Radical polymerization; Reversible addition−fragmentation chain-transfer polymerization; Ionic polymerization; Materials science; Chain-growth polymerization; Dispersity; Catalytic chain transfer; End-group; Ring-opening metathesis polymerisation; Chemistry; Metathesis; Polymer; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008520752,0.0004586791,0.0001916298,0.0002761858,0.0001392817,0.0002291186,0.0002434633,0.0002489145,0.0009543297],"category_scores_gemma":[0.0001074333,0.0002729264,0.0002352094,0.0001649113,0.0001432977,0.0004253879,0.0002050661,0.0005525619,0.0005001759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017946,"about_ca_system_score_gemma":0.0002975593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709978,"about_ca_topic_score_gemma":0.0004546636,"domain_scores_codex":[0.9999199,0.000007135578,0.000006906858,0.00002310589,0.00002976628,0.00001320583],"domain_scores_gemma":[0.9999387,0.000009614521,0.00002259914,0.000008494688,0.000007751662,0.00001271723],"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":[0.000008487444,0.0000181592,0.00003111698,0.00004788293,0.000003778227,0.00004462967,0.000008592209,0.0001001292,0.995153,0.0005627972,0.00002797025,0.003993362],"study_design_scores_gemma":[0.00001195197,0.0001014617,0.0002262078,0.000004818803,0.000008431138,0.0002589373,0.000003656263,0.001063608,0.9935567,0.0001191189,0.004636667,0.000008477814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7797663,0.007886996,0.1948448,0.0003601214,0.0003077219,0.0003639774,0.0002334359,0.0007060577,0.01553052],"genre_scores_gemma":[0.8936274,0.004024968,0.09500334,0.00008462217,0.00005879382,0.0001606878,0.0001822871,0.00007295632,0.006784912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009543297,"threshold_uncertainty_score":0.003192544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463029561498757,"score_gpt":0.2619725411947831,"score_spread":0.2473422455797955,"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."}}