{"id":"W2892878319","doi":"10.1002/cssc.201801965","title":"Sulfophenylated Terphenylene Copolymer Membranes and Ionomers","year":2018,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Copolymer; Membrane; Polymer; Electrolyte; Proton exchange membrane fuel cell; Monomer; Polymer chemistry; Membrane electrode assembly; Materials science; Chemical engineering; Ionomer; Electrochemistry; Chemistry; Electrode; Composite material; Physical chemistry","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":[0.0001874641,0.000432569,0.0001823901,0.00015273,0.0001233281,0.0002913987,0.0001546075,0.0002550962,0.001451346],"category_scores_gemma":[0.0001727871,0.0001499202,0.000163083,0.0001199589,0.0001472705,0.0003205555,0.000140746,0.0003490116,0.0005671508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523524,"about_ca_system_score_gemma":0.0001761892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498756,"about_ca_topic_score_gemma":0.0004879906,"domain_scores_codex":[0.9998863,0.00001460761,0.000006356483,0.00002819402,0.00002929503,0.00003523197],"domain_scores_gemma":[0.9998939,0.00002135202,0.00003577397,0.000008398916,0.00001581567,0.00002471495],"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":[0.00003471139,0.00000868322,0.00003088373,0.00001499403,0.000002067787,0.00002177865,0.000005280148,0.0000543515,0.9991016,0.00009777291,0.00001622428,0.0006117691],"study_design_scores_gemma":[0.000004757179,0.00005509151,0.0001920669,0.000001808989,0.00000555739,0.00002889816,0.000003095591,0.000270976,0.9984714,0.00001256954,0.0009524522,0.000001217622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895956,0.00146773,0.004829109,0.0001071023,0.00003265587,0.00003197146,0.0001562874,0.0001451978,0.00363441],"genre_scores_gemma":[0.9894438,0.001333436,0.003901612,0.00004746733,0.00002366826,0.00003002782,0.0002727747,0.00003632248,0.004910779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451346,"threshold_uncertainty_score":0.004855216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004274752929204842,"score_gpt":0.1732151086254485,"score_spread":0.1689403556962437,"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."}}