{"id":"W3010471269","doi":"10.1021/acs.macromol.0c00068","title":"How a Small Change of Oligo(<i>p</i>-phenylenevinylene) Chain Length Affects Self-Seeding of Oligo(<i>p</i>-phenylenevinylene)-Containing Block Copolymers","year":2020,"lang":"en","type":"article","venue":"Macromolecules","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Science and Technology Commission of Shanghai Municipality; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Micelle; Seeding; Copolymer; Materials science; Self-assembly; Fiber; Crystallization; Chemical engineering; Methanol; Polymer chemistry; Crystallography; Polymer; Nanotechnology; Chemistry; Aqueous solution; Composite material; Organic chemistry; Thermodynamics","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":[0.0001581451,0.000229234,0.0001066429,0.00007828679,0.00008953783,0.0001853164,0.0001451483,0.0001745084,0.0004528495],"category_scores_gemma":[0.0003342598,0.0001233469,0.0001177958,0.0001052837,0.0001312451,0.0002289974,0.0001160927,0.0002357579,0.0001402637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549518,"about_ca_system_score_gemma":0.000106314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004840755,"about_ca_topic_score_gemma":0.0005000953,"domain_scores_codex":[0.9999017,0.00001697427,0.00001224824,0.00002621196,0.00001675989,0.00002609528],"domain_scores_gemma":[0.9997942,0.00007942097,0.00005850034,0.00001448752,0.0000217188,0.00003170569],"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":[0.00004249945,0.00001399148,0.00009854278,0.0000136129,0.000002927667,0.00001907828,0.00001761808,0.0001266792,0.9991714,0.00002873518,0.000006182752,0.0004586865],"study_design_scores_gemma":[0.000003887406,0.0000669657,0.0006283,0.000001536739,0.000004481633,0.00001095466,0.000004386299,0.0007748961,0.9983878,0.000006420181,0.0001080532,0.00000226812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990355,0.0001285731,0.0004852146,0.000009067127,0.000004894083,0.000007059075,0.00003272483,0.00001184487,0.0002852152],"genre_scores_gemma":[0.9984097,0.0001952984,0.0009982149,0.00001032541,0.000002832967,0.0000114762,0.0000629366,0.00001370397,0.0002953628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004840755,"threshold_uncertainty_score":0.001514912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758908514463871,"score_gpt":0.1945915828813529,"score_spread":0.1770024977367142,"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."}}