{"id":"W2990121209","doi":"10.1002/slct.201903623","title":"Effects of Membrane Additives on PEMFC Conditioning","year":2019,"lang":"en","type":"article","venue":"ChemistrySelect","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada); National Research Council Canada","funders":"","keywords":"Durability; Conditioning; Membrane; Materials science; Chemical engineering; Electrolyte; Commercialization; Waste management; Chemistry; Composite material; Engineering; Business; Mathematics","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":[0.0002545755,0.000416058,0.0002741427,0.0003328393,0.0004171746,0.0004608358,0.0002389968,0.000363127,0.001895221],"category_scores_gemma":[0.0009107968,0.0001557413,0.0002634048,0.0003228598,0.0002640178,0.0004479295,0.0002272957,0.0005178916,0.0002195348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501182,"about_ca_system_score_gemma":0.0002693636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736864,"about_ca_topic_score_gemma":0.001843387,"domain_scores_codex":[0.999721,0.00003913754,0.00002683905,0.00004832002,0.0001010287,0.00006359923],"domain_scores_gemma":[0.9994658,0.0001633497,0.00008772704,0.00003806771,0.0002100292,0.00003506775],"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":[0.0003119645,0.00003364214,0.001126019,0.0001669082,0.00002356783,0.0001372309,0.00008255908,0.0004611579,0.9924558,0.00006190931,0.00006637707,0.005072866],"study_design_scores_gemma":[0.000001485983,0.0001214697,0.001842407,0.000006402274,0.00001857393,0.00004300709,0.00003691763,0.0003493713,0.9967479,0.000009046986,0.0008186717,0.000004808242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959564,0.001626348,0.000793511,0.00005202017,0.00003802851,0.00001947333,0.0001384873,0.00004353949,0.001332251],"genre_scores_gemma":[0.9972203,0.0007221341,0.0009463545,0.00002819513,0.000008793535,0.00000980596,0.00009029285,0.00001548689,0.0009586569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001895221,"threshold_uncertainty_score":0.006340146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001527777281023108,"score_gpt":0.1616288352053153,"score_spread":0.1601010579242922,"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."}}