{"id":"W2614904666","doi":"10.1021/jacs.7b02208","title":"Monodisperse Fiber-like Micelles of Controlled Length and Composition with an Oligo(<i>p</i>-phenylenevinylene) Core via “Living” Crystallization-Driven Self-Assembly","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Micelle; Dispersity; Crystallization; Chemistry; Core (optical fiber); Fiber; Self-assembly; Chemical engineering; Polymer chemistry; Crystallography; Materials science; Organic chemistry; Composite material; Aqueous solution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001931279,0.0003621646,0.0001565704,0.000163662,0.0001371728,0.0002145522,0.0001922086,0.0002352237,0.0002764756],"category_scores_gemma":[0.0002073973,0.0001712478,0.0001908401,0.0001001395,0.0001971439,0.0003164306,0.0001604385,0.0002819854,0.0001927873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226672,"about_ca_system_score_gemma":0.0002008789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004249075,"about_ca_topic_score_gemma":0.001076633,"domain_scores_codex":[0.999893,0.00001320904,0.0000100582,0.00003663703,0.00002723591,0.00002005404],"domain_scores_gemma":[0.9998549,0.00002694578,0.00005141503,0.00001418055,0.00002841954,0.00002419187],"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":[0.000009974357,0.000008218034,0.00003964789,0.00001144698,0.000002070452,0.000009239256,0.00001127646,0.00009021705,0.999194,0.00005700797,0.00001184725,0.0005551243],"study_design_scores_gemma":[0.000004231334,0.00004576042,0.000170334,7.502364e-7,0.000003061068,0.00002447509,0.000001743068,0.0007915214,0.9985965,0.000008699738,0.0003503666,0.000002475616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805337,0.0004442703,0.01764159,0.00005169533,0.00001303455,0.00006654012,0.0001388665,0.0001808158,0.0009295438],"genre_scores_gemma":[0.9747268,0.0004567343,0.02263251,0.0000343315,0.00001131252,0.00005864665,0.000216507,0.00006067096,0.001802509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004249075,"threshold_uncertainty_score":0.002341151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008020977835201528,"score_gpt":0.235958171319697,"score_spread":0.2279371934844955,"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."}}