{"id":"W2039997232","doi":"10.1149/06403.0027ecst","title":"(Plenary) Advanced Visualization Tools to Investigate PEM Fuel Cell Materials","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Microscale chemistry; Proton exchange membrane fuel cell; Commercialization; Visualization; Fuel cells; Materials science; Durability; Computer science; Flexibility (engineering); Process engineering; Nanotechnology; Mechanical engineering; Engineering; Chemical engineering; Business; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001064827,0.0001689794,0.0001913466,0.00009631882,0.00008686543,0.00009003525,0.00009542072,0.0001214715,0.0009430361],"category_scores_gemma":[0.000007873601,0.0001680531,0.00004223274,0.0001855859,0.00001749972,0.0002143208,0.000003471623,0.00007358985,0.0004759334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003290405,"about_ca_system_score_gemma":0.000009655284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001001044,"about_ca_topic_score_gemma":0.000006496935,"domain_scores_codex":[0.9991713,0.00003734651,0.0002776289,0.0001734668,0.00009992852,0.0002403522],"domain_scores_gemma":[0.9995798,0.00003136878,0.00002504487,0.0001927172,0.00003028873,0.00014079],"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":[0.00000901849,0.0000245178,7.59231e-7,0.0006039381,0.00001646275,0.000001076063,0.0002910049,0.3113021,0.6866463,0.00006038646,0.000544978,0.0004994773],"study_design_scores_gemma":[0.0004626802,0.00007669234,0.00006078058,0.00006538173,0.00004427772,0.000003897931,0.00003516157,0.00512736,0.8616084,0.0003193237,0.1318524,0.0003436513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6422867,0.001159221,0.2565055,0.0004046978,0.009408086,0.001612756,0.000298517,0.002675621,0.08564894],"genre_scores_gemma":[0.9953759,0.0007722736,0.002495671,0.00009668466,0.0001078451,0.0001056691,0.00004036771,0.00006786966,0.0009377697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3530892,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007737740439204542,"score_gpt":0.1990018564338691,"score_spread":0.1912641159946645,"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."}}