{"id":"W3081770527","doi":"10.1021/acs.macromol.0c00778","title":"Metal Coordination Induces Phase Segregation in Amphipolar Arborescent Copolymers with a Core–Shell–Corona Architecture","year":2020,"lang":"en","type":"article","venue":"Macromolecules","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; H2020 European Research Council; Deutsche Forschungsgemeinschaft","keywords":"Copolymer; Metal; Phase (matter); Core (optical fiber); Shell (structure); Materials science; Polymer chemistry; Corona (planetary geology); Chemical engineering; Chemistry; Chemical physics; Composite material; Physics; Polymer; Organic chemistry; Metallurgy; Astrobiology; Engineering","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":[0.00005009411,0.0001694087,0.00006331204,0.0001005303,0.0001077706,0.0001761964,0.0001001079,0.0001150487,0.001414099],"category_scores_gemma":[0.0001591313,0.0001102561,0.00005456346,0.00007213819,0.000115285,0.0001258879,0.0001036231,0.0001596354,0.0002575549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771991,"about_ca_system_score_gemma":0.0001118642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00038772,"about_ca_topic_score_gemma":0.0008347072,"domain_scores_codex":[0.9999604,0.000005068845,0.000001762342,0.00001055519,0.000008874677,0.00001329159],"domain_scores_gemma":[0.9999402,0.00001342489,0.00001555228,0.000004964554,0.000008860138,0.00001717083],"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":[0.00007874011,0.00001288997,0.00009185683,0.00001062986,0.000001345543,0.00002140334,0.00001084061,0.00004767075,0.998787,0.00008626848,0.00003669716,0.0008147068],"study_design_scores_gemma":[0.000009636257,0.00007767213,0.001481085,0.000002239706,0.000003767392,0.00002919543,0.000006536106,0.001312122,0.9965733,0.00001723684,0.0004853191,0.000001818792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978613,0.0001353697,0.000384253,0.0000156341,0.000005401846,0.000003936216,0.00002899505,0.00003062544,0.001534506],"genre_scores_gemma":[0.998405,0.000091582,0.0002426701,0.00001075399,0.000002673152,0.000003201178,0.00003418418,0.00001519771,0.001194866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414099,"threshold_uncertainty_score":0.004730582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656375492846537,"score_gpt":0.2515850243477984,"score_spread":0.235021269419333,"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."}}