{"id":"W2931776404","doi":"10.1002/mren.201900009","title":"Preparation of Thermochromic Films from Latexes Made by Miniemulsion Polymerization","year":2019,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Photochromic and Fluorescence Chemistry","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Miniemulsion; Polymerization; Thermochromism; Polymer chemistry; Materials science; Radical polymerization; Nitroxide mediated radical polymerization; Methyl methacrylate; Monomer; Styrene; Emulsion polymerization; Polymer; Reversible addition−fragmentation chain-transfer polymerization; Potassium persulfate; Chemical engineering; Chemistry; Copolymer; Organic chemistry; Composite material","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":[0.00006471001,0.0001284058,0.0001595377,0.00003489238,0.00002347833,0.00002321618,0.0001215394,0.00009825506,0.0005475082],"category_scores_gemma":[0.00001844462,0.0001345193,0.00004871245,0.00008915998,0.00001657319,0.0001706655,0.00002776546,0.00006973092,0.00009383747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004121594,"about_ca_system_score_gemma":0.0000173844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001387208,"about_ca_topic_score_gemma":2.577038e-7,"domain_scores_codex":[0.9991845,0.00001357472,0.0002237088,0.0002521157,0.0001769804,0.000149138],"domain_scores_gemma":[0.999549,0.00002033939,0.0001168116,0.0002482715,0.00002284244,0.00004275047],"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":[0.00002535252,0.00002211073,0.00009405894,0.00002799402,0.000008009339,0.000001188107,0.0001043765,0.0008006947,0.9987654,0.000008090336,0.00007455709,0.0000681836],"study_design_scores_gemma":[0.0002314814,0.00002322909,0.0006999315,0.00005970756,0.00001094955,0.000004924378,0.00002672199,0.01516715,0.9835134,0.00000681029,0.000119623,0.0001360694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922474,0.0001362792,0.006764431,0.000008127169,0.0002545402,0.000161768,0.00004163042,0.00008764536,0.0002982011],"genre_scores_gemma":[0.9988714,0.00001386934,0.0007261807,0.00001191721,0.000026659,0.00001210287,0.0001792786,0.00002338113,0.0001351682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525199,"threshold_uncertainty_score":0.5994831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002647598614330717,"score_gpt":0.2065762498378284,"score_spread":0.2039286512234977,"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."}}