{"id":"W2206764825","doi":"10.1021/acs.macromol.5b01531","title":"Hydration of Hydrophobic Iron–Carbonyl Homopolymers via Water–Carbonyl Interaction (WCI): Creation of Uniform Organometallic Aqueous Vesicles with Exceptionally High Encapsulation Capacity","year":2015,"lang":"en","type":"article","venue":"Macromolecules","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Polymersome; Amphiphile; Vesicle; Colloid; Hydrodynamic radius; Aqueous solution; Chemical engineering; Self-assembly; Chemistry; Membrane; Dynamic light scattering; Molecule; Polymer chemistry; Nanoparticle; Copolymer; Nanotechnology; Materials science; Organic chemistry; Polymer; Micelle","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001842094,0.0002605375,0.0003681073,0.000138764,0.00006997821,0.00004106713,0.0001687516,0.0001552581,0.000287819],"category_scores_gemma":[0.00002501796,0.0002053956,0.00008617748,0.0002228791,0.0001496034,0.0002846835,0.00004038552,0.0001241936,0.00001363098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273946,"about_ca_system_score_gemma":0.00007471439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808654,"about_ca_topic_score_gemma":0.0002488254,"domain_scores_codex":[0.9982193,0.0000555325,0.0005915985,0.0003252054,0.0005648568,0.0002435084],"domain_scores_gemma":[0.9988267,0.0000418194,0.0004392686,0.0003301534,0.0002516465,0.000110405],"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":[0.0002348967,0.0001618667,0.002235267,0.0001245325,0.00008334398,0.000005660059,0.001065268,0.001407239,0.9923698,0.0001260731,0.000003473862,0.002182621],"study_design_scores_gemma":[0.0007726144,0.0002020404,0.001560147,0.0001187939,0.00009022701,0.00003931656,0.0006336301,0.003014033,0.9927236,0.000500867,0.00007658867,0.00026814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939111,0.00008327755,0.000661039,0.00003895948,0.0001275345,0.0001665616,0.00003563838,0.00006462375,0.004911202],"genre_scores_gemma":[0.9990439,0.00001040001,0.000279391,0.000008750706,0.0000851783,0.00002359407,0.0002460841,0.00004142889,0.0002612915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005132717,"threshold_uncertainty_score":0.837579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138216222682207,"score_gpt":0.2060066168089425,"score_spread":0.1946244545821205,"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."}}