{"id":"W2001102567","doi":"10.1021/ma402008b","title":"Controlling Water Content and Proton Conductivity through Copolymer Morphology","year":2013,"lang":"en","type":"article","venue":"Macromolecules","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copolymer; Conductivity; Polystyrene; Morphology (biology); Polymer chemistry; Proton; Materials science; Phase (matter); Neutron scattering; Scattering; Membrane; Small-angle X-ray scattering; Small-angle neutron scattering; Chemical engineering; Ionic conductivity; Analytical Chemistry (journal); Chemistry; Polymer; Composite material; Physical chemistry; Chromatography; Organic chemistry; Optics","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":[0.0001550391,0.0002429161,0.000102652,0.000162169,0.00009803889,0.0002812524,0.0001422385,0.0001951215,0.0005941186],"category_scores_gemma":[0.000456085,0.0001537801,0.00009164305,0.0001332636,0.0002078355,0.0005077817,0.0001518422,0.0001835867,0.0001180998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968784,"about_ca_system_score_gemma":0.00009270474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002797326,"about_ca_topic_score_gemma":0.0005375912,"domain_scores_codex":[0.9999107,0.0000129496,0.00000864202,0.00001980912,0.00002637552,0.00002153173],"domain_scores_gemma":[0.999778,0.00008660405,0.0000672119,0.00001156861,0.00003279976,0.00002387827],"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":[0.00003619855,0.000008241886,0.0003465766,0.000007787991,0.000001597939,0.00001644133,0.000009865132,0.0001490929,0.9988682,0.00002873666,0.000003490417,0.0005237474],"study_design_scores_gemma":[0.000002809084,0.00004125171,0.0008615123,7.033956e-7,0.000002460347,0.00001502332,0.000008077336,0.0007400756,0.9982399,0.00001069884,0.00007601025,0.000001497434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986634,0.0001243389,0.000806412,0.00001402989,0.000002422255,0.000003984874,0.00002843697,0.0000147537,0.0003421252],"genre_scores_gemma":[0.998903,0.0001091846,0.0006372097,0.000008205698,0.000001450724,0.000005496785,0.00003147314,0.000008701644,0.000295344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005941186,"threshold_uncertainty_score":0.001987517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613266264274258,"score_gpt":0.1994093456254807,"score_spread":0.1832766829827381,"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."}}