{"id":"W2793109755","doi":"10.1016/j.jpowsour.2017.12.008","title":"Improving the corrosion resistance of proton exchange membrane fuel cell carbon supports by pentafluorophenyl surface functionalization","year":2018,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ballard Power Systems (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Ballard Power Systems","keywords":"Surface modification; Microporous material; Corrosion; Proton exchange membrane fuel cell; Gravimetric analysis; Passivation; Cyclic voltammetry; Carbon fibers; Chemical engineering; Materials science; Colloid; Electrochemistry; Inorganic chemistry; Chemistry; Layer (electronics); Composite material; Organic chemistry; Catalysis; Electrode","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":[0.000106069,0.0003798134,0.000163807,0.0001723949,0.0001949737,0.0002931358,0.0003391184,0.0004793731,0.00121573],"category_scores_gemma":[0.0002224545,0.0001626227,0.0001873726,0.0001191926,0.0001261855,0.000339064,0.0001655487,0.0004713266,0.0003225075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061652,"about_ca_system_score_gemma":0.0001652418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133834,"about_ca_topic_score_gemma":0.001696195,"domain_scores_codex":[0.9998839,0.000008201184,0.000006442268,0.00001909629,0.00004256457,0.00003976432],"domain_scores_gemma":[0.9999228,0.00001508641,0.00001591925,0.00001079463,0.00002613284,0.000009261862],"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":[0.00006013161,0.00002065914,0.00009435639,0.000022168,0.000003932326,0.00003741195,0.00001391721,0.000150872,0.9970605,0.0001137772,0.00007097969,0.002351271],"study_design_scores_gemma":[0.000002187464,0.00005592897,0.0003302692,0.000001057246,0.000003260141,0.00003275875,0.000007135957,0.0006415551,0.9985234,0.00001032252,0.0003899273,0.000002313723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960484,0.0004081938,0.001635277,0.0001275888,0.00002678211,0.000008198783,0.00007554575,0.0000436796,0.001626369],"genre_scores_gemma":[0.9971287,0.0002760937,0.0008649874,0.00002777979,0.000007361264,0.00000591962,0.0001426842,0.00001500368,0.001531597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121573,"threshold_uncertainty_score":0.004067004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004891042056880738,"score_gpt":0.1956701947344631,"score_spread":0.1907791526775823,"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."}}