{"id":"W2792727894","doi":"10.1021/acs.langmuir.8b00630","title":"Effect of Chain Architecture on Self-Assembled Aggregates from Cyclic AB Diblock and Linear ABA Triblock Copolymers in Solution","year":2018,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Micelle; Copolymer; Solvophobic; Vesicle; Self-assembly; Materials science; Polymer chemistry; Monte Carlo method; Chain (unit); Chemical physics; Chemistry; Solvent; Chemical engineering; Nanotechnology; Polymer; Aqueous solution; Physical chemistry; Organic chemistry; Physics; Membrane","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":[0.0001410534,0.0002330814,0.0001838449,0.0001570458,0.0001788256,0.000288779,0.0001382957,0.0001800349,0.0008569583],"category_scores_gemma":[0.0003748432,0.0001902231,0.000130659,0.0001200876,0.0001881485,0.0002835344,0.0001379909,0.0002106945,0.000120106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807707,"about_ca_system_score_gemma":0.0002754529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193231,"about_ca_topic_score_gemma":0.001593235,"domain_scores_codex":[0.9999491,0.000009823842,0.000003287676,0.000009219303,0.0000136905,0.00001485665],"domain_scores_gemma":[0.9998778,0.00005503658,0.0000238045,0.00000629138,0.00001544336,0.00002147352],"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":[0.0005187808,0.0001050213,0.002304212,0.0001843868,0.00005399889,0.0002229464,0.000113648,0.05450395,0.9342301,0.001576522,0.00008363464,0.00610285],"study_design_scores_gemma":[0.00011572,0.001331719,0.005816444,0.00003031402,0.00013417,0.0001018324,0.00008745442,0.2584824,0.7316101,0.0005595516,0.001690358,0.00003997332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984953,0.0002048447,0.0006515559,0.000011422,0.000004269317,0.000006290554,0.00002524707,0.00001776978,0.0005832066],"genre_scores_gemma":[0.9989977,0.0001959366,0.0005639187,0.000007636957,0.000001441035,0.000008528412,0.00003201953,0.000006955313,0.0001859462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001193231,"threshold_uncertainty_score":0.002866864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003686803132479698,"score_gpt":0.233335184052768,"score_spread":0.2296483809202883,"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."}}