{"id":"W2325521121","doi":"10.1021/nn505068u","title":"Homopolymers as Structure-Driving Agents in Semicrystalline Block Copolymer Micelles","year":2015,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Copolymer; Micelle; Lamellar structure; Materials science; Crystallinity; Crystallization; Amphiphile; Ethylene oxide; Chemical engineering; Polycaprolactone; Micrometer; Small-angle X-ray scattering; Self-assembly; Polymer chemistry; Nanotechnology; Polymer; Scattering; Organic chemistry; 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":[0.0001232025,0.0001739106,0.0001095161,0.0001417989,0.00008331081,0.0002061163,0.0001499412,0.0001618528,0.0006958884],"category_scores_gemma":[0.0001338313,0.0001245263,0.00009435854,0.00009601723,0.0001504351,0.0003017935,0.0001478562,0.0002873156,0.0004591566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415543,"about_ca_system_score_gemma":0.0002307407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003749036,"about_ca_topic_score_gemma":0.0007704496,"domain_scores_codex":[0.9999191,0.00001633386,0.000006167784,0.00001727907,0.0000232047,0.00001792256],"domain_scores_gemma":[0.9999151,0.00001848531,0.00003094483,0.00001001394,0.000008716635,0.00001673027],"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":[0.00002536643,0.00002268993,0.00005476176,0.00004704122,0.000003042757,0.00004400021,0.00002325223,0.0002743392,0.9931617,0.001100695,0.00006904971,0.005174071],"study_design_scores_gemma":[0.000008192947,0.00009480326,0.0001720469,0.000002886224,0.000003316611,0.00002723461,0.000003925931,0.0012947,0.99591,0.00009257616,0.002388153,0.000002063935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658571,0.004427191,0.02350244,0.0001773493,0.00006689905,0.00008628541,0.0001345484,0.0005037336,0.005244437],"genre_scores_gemma":[0.9768175,0.001692095,0.01643036,0.00006498088,0.00002256921,0.00004535653,0.0001025729,0.00005649602,0.004767991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006958884,"threshold_uncertainty_score":0.002327979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742900113152982,"score_gpt":0.259065228223043,"score_spread":0.2416362270915131,"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."}}