{"id":"W4362634005","doi":"10.1016/j.ijhydene.2023.03.143","title":"Development of crosslinked SEBS-based anion exchange membranes for water electrolysis: Investigation of the crosslinker effect","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"KAIST Creative Research Initiatives; Ministry of Trade, Industry and Energy; National Research Foundation of Korea; Ministry of Education; CHEO Research Institute","keywords":"Membrane; Copolymer; Ion exchange; Polymer chemistry; Ultimate tensile strength; Materials science; Chemical engineering; Polymer; Thermal stability; Styrene; Proton exchange membrane fuel cell; Ether; Chemistry; Composite material; Organic chemistry; Ion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004605349,0.0001102549,0.0002135548,0.0001857091,0.00003528691,0.00001560409,0.0002754044,0.0000873946,0.00002812379],"category_scores_gemma":[0.00001959712,0.00006549024,0.0001719022,0.0001088615,0.00003768071,0.00007563213,0.00002858482,0.00005882756,0.00000197021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005269563,"about_ca_system_score_gemma":0.00004862013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006612972,"about_ca_topic_score_gemma":0.000006879404,"domain_scores_codex":[0.9988461,0.00003577576,0.0005747892,0.00006830214,0.0003385557,0.0001364554],"domain_scores_gemma":[0.9993764,0.0000669511,0.0002099284,0.00007670552,0.0002380044,0.00003202078],"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":[0.0000990765,0.00001022576,0.00009015426,0.0003265586,0.0003405414,0.00000267169,0.0003081448,0.1455809,0.8527901,0.00001131446,0.00007936201,0.0003609181],"study_design_scores_gemma":[0.000794312,0.00005095592,0.0001233496,0.0001124314,0.00003674391,0.000009749843,0.000006285242,0.0134963,0.9779161,0.0002219192,0.007160068,0.00007175913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978045,0.0005924409,0.0003652896,0.00009979767,0.0009947456,0.00006590082,0.000009693716,0.00002196856,0.00004568882],"genre_scores_gemma":[0.9991901,0.000176649,0.000314924,0.00002623996,0.0001584683,0.0000125719,0.0000353616,0.00002384415,0.00006185473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1320846,"threshold_uncertainty_score":0.2670614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009699159903355459,"score_gpt":0.2256140048261252,"score_spread":0.2159148449227697,"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."}}