{"id":"W4390353732","doi":"10.2139/ssrn.4677847","title":"Macromolecular Reinforcement of Alkaline Ion-Solvating Polymer Electrolytes","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrolyte; Polymer electrolytes; Reinforcement; Polymer; Ion; Polymer science; Materials science; Chemistry; Chemical engineering; Polymer chemistry; Organic chemistry; Composite material; Engineering; Ionic conductivity; Physical chemistry; Electrode","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001045086,0.0002747112,0.0001410775,0.0002198515,0.0001313109,0.0003199711,0.0001866268,0.0001836084,0.001956289],"category_scores_gemma":[0.0002198752,0.0001050133,0.0001075811,0.0001532675,0.0001517701,0.0003305581,0.0002773852,0.0002936552,0.0004156994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309663,"about_ca_system_score_gemma":0.0000859145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511186,"about_ca_topic_score_gemma":0.0002464224,"domain_scores_codex":[0.9999411,0.000007678451,0.000003592412,0.00001435806,0.00001643388,0.00001679332],"domain_scores_gemma":[0.9999049,0.00002708954,0.00002591126,0.000008796094,0.00001466856,0.00001865482],"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":[0.00007161515,0.00002041086,0.0001030325,0.000055626,0.000004396224,0.00004553877,0.00002788196,0.0007822078,0.9928492,0.0005200654,0.00006141912,0.005458551],"study_design_scores_gemma":[0.000007557306,0.00009645209,0.0002733016,0.000003479808,0.000005004143,0.00003306188,0.00001056149,0.002211844,0.9956642,0.0001052593,0.001586322,0.000002932079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901642,0.0009784692,0.004950254,0.00004642996,0.00005644551,0.00001315033,0.00004472652,0.0001239031,0.003622441],"genre_scores_gemma":[0.9957123,0.0003043739,0.001723892,0.00001261547,0.00001076828,0.000005860792,0.00002868805,0.00002842243,0.00217316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001956289,"threshold_uncertainty_score":0.006544411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007674859861435393,"score_gpt":0.2140965901231343,"score_spread":0.2064217302616989,"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."}}