{"id":"W2137630378","doi":"10.1039/c3sm52950a","title":"Crystallinity-driven morphological ripening processes for poly(ethylene oxide)-block-polycaprolactone micelles in water","year":2014,"lang":"en","type":"article","venue":"Soft Matter","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Crystallinity; Micelle; Crystallization; Materials science; Rod; Copolymer; Transmission electron microscopy; Ethylene oxide; Ostwald ripening; Chemical engineering; SPHERES; Small-angle X-ray scattering; Amorphous solid; Polycaprolactone; Oxide; Static light scattering; Poly ethylene; Crystallography; Dynamic light scattering; Polymer; Scattering; Chemistry; Nanotechnology; Composite material; Ethylene; Optics; Organic chemistry; Nanoparticle","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":[0.000123819,0.0002421707,0.0001128288,0.0001119241,0.000122969,0.0002038901,0.0001517441,0.000139694,0.0006753809],"category_scores_gemma":[0.0002107468,0.0001384452,0.0001273997,0.00009665614,0.000175529,0.0003213995,0.0001804714,0.0003371748,0.0002784387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367264,"about_ca_system_score_gemma":0.0001342365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004576624,"about_ca_topic_score_gemma":0.0008296347,"domain_scores_codex":[0.9999213,0.00001047745,0.000005215029,0.00001914749,0.00002582029,0.000017896],"domain_scores_gemma":[0.9999264,0.00002182121,0.00002359886,0.000005721733,0.00001107558,0.00001128912],"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":[0.00001156796,0.000007795162,0.00002032963,0.00002032676,9.482595e-7,0.00002011953,0.00002843382,0.000123196,0.9986015,0.00005075746,0.00001695321,0.001098132],"study_design_scores_gemma":[0.000005230027,0.0000472596,0.0003090891,0.00000148274,0.000001219942,0.00001801494,0.000008797732,0.001006727,0.9981597,0.00001960625,0.0004200293,0.000002825184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857063,0.0009626569,0.01006929,0.00008151452,0.00001675942,0.00006796914,0.00008165776,0.0002535205,0.002760315],"genre_scores_gemma":[0.9927371,0.000553944,0.004688986,0.00003476681,0.000007107208,0.00003926251,0.00006626374,0.00004724162,0.001825243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006753809,"threshold_uncertainty_score":0.002259374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137927943468959,"score_gpt":0.232167684627261,"score_spread":0.2207884051925715,"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."}}