{"id":"W2312986878","doi":"10.1021/ja5126808","title":"Branched Micelles by Living Crystallization-Driven Block Copolymer Self-Assembly under Kinetic Control","year":2015,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Directorate-General for Research and Innovation; Deutsche Forschungsgemeinschaft","keywords":"Chemistry; Copolymer; Micelle; Crystallization; Self-assembly; Kinetic energy; Kinetic control; Block (permutation group theory); Chemical engineering; Polymer chemistry; Physical chemistry; Organic chemistry; Aqueous solution; Catalysis; Polymer; Classical mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001083091,0.0001967798,0.0003965817,0.000009883111,0.00007801678,0.00004588835,0.0004361391,0.0000843243,0.00008011422],"category_scores_gemma":[0.00007925517,0.0001420733,0.00038063,0.0001945031,0.0001738383,0.0001408221,0.00007244987,0.0002970417,0.000002712723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978873,"about_ca_system_score_gemma":0.0001092396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480945,"about_ca_topic_score_gemma":2.615297e-7,"domain_scores_codex":[0.998615,0.00004837025,0.0004701236,0.0001671195,0.0004422668,0.0002571325],"domain_scores_gemma":[0.9980827,0.000255359,0.001074696,0.0002279929,0.0001661514,0.0001931258],"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":[0.00003098422,0.0001514878,0.001598891,0.00001526086,0.0001861853,4.266407e-7,0.00039449,0.0001494152,0.9877988,0.000002951444,0.009420967,0.0002501019],"study_design_scores_gemma":[0.000894143,0.00003142751,0.0002380387,0.0001140069,0.0002146558,0.00004330905,0.000916361,0.001743816,0.9836704,0.00002666254,0.01183415,0.0002730385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929296,0.00127264,0.003807627,0.001528916,0.00009758746,0.00004074657,0.00001660448,0.00003557119,0.0002706539],"genre_scores_gemma":[0.9963181,0.0002376287,0.0008836136,0.001921459,0.00040408,0.000003190824,0.000003140143,0.00003805238,0.0001907035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004128453,"threshold_uncertainty_score":0.5793579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006994004841854665,"score_gpt":0.2249229200653274,"score_spread":0.2179289152234727,"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."}}