{"id":"W2105589620","doi":"10.1002/pola.25829","title":"Preparation of poly(methyl methacrylate)–poly(acrylonitrile‐<i>co</i>‐butadiene) core–shell nanoparticles","year":2011,"lang":"en","type":"article","venue":"Journal of Polymer Science Part A Polymer Chemistry","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Acrylonitrile; Methyl methacrylate; Materials science; Nanoparticle; Polymer chemistry; Polymerization; Chemical engineering; Methacrylate; Catalysis; Nanocomposite; Shell (structure); Poly(methyl methacrylate); Solvent; Composite material; Copolymer; Polymer; Chemistry; Organic chemistry; Nanotechnology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310568,0.0004724505,0.0008445486,0.000194518,0.0002999,0.0001128277,0.001454961,0.0002655501,0.003310961],"category_scores_gemma":[0.0001643611,0.0004017414,0.0004442791,0.0009709663,0.001134073,0.0008964043,0.0001693338,0.0004519274,0.00002611137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612381,"about_ca_system_score_gemma":0.0009077127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002735201,"about_ca_topic_score_gemma":0.000003676085,"domain_scores_codex":[0.9950738,0.00004413061,0.001776238,0.0006020951,0.001563162,0.0009405514],"domain_scores_gemma":[0.9960015,0.0001299883,0.001907805,0.0008517372,0.0004043461,0.0007046185],"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":[0.0003572724,0.0003321238,0.008065784,0.0001116705,0.0001266357,0.00003514467,0.001886187,6.803356e-7,0.9850762,0.00004900499,0.0001234741,0.003835831],"study_design_scores_gemma":[0.0008216033,0.00012637,0.0001674968,0.0002026614,0.0001392117,0.0003728464,0.001353743,0.00006430078,0.9956429,0.00005846543,0.0006133711,0.0004370399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485812,0.02637589,0.0000182165,0.00004364379,0.0005280639,0.00006518261,0.00005030769,0.00004308967,0.02429445],"genre_scores_gemma":[0.9957426,0.0001006935,0.0001430172,0.00005242456,0.0004409688,0.000009689861,0.000002403003,0.00004324285,0.003464921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04716148,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351532389283537,"score_gpt":0.2904498091657465,"score_spread":0.2569344852729111,"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."}}