{"id":"W2072550692","doi":"10.1149/1.3502344","title":"Fingerprints of Automotive Fuel Cell Degradation","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Corrosion; Dissolution; Degradation (telecommunications); Durability; Materials science; Carbon fibers; Proton exchange membrane fuel cell; Cathode; Metallurgy; Composite material; Chemical engineering; Fuel cells; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004164392,0.00006470383,0.00007950658,0.00004908481,0.00002833357,0.000008499312,0.00004871425,0.00009385685,0.0008840047],"category_scores_gemma":[0.00000209159,0.00006275128,0.00004121508,0.00007753354,0.00002053875,0.00006580826,9.398741e-7,0.0001590722,0.0000689711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007290302,"about_ca_system_score_gemma":0.000008566283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482279,"about_ca_topic_score_gemma":0.0000203617,"domain_scores_codex":[0.9996648,0.000005197037,0.0001266766,0.00006317806,0.00005248734,0.00008759514],"domain_scores_gemma":[0.9998015,0.00001911911,0.0000164796,0.0001028523,0.00002809928,0.00003201364],"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":[0.000004275886,0.00009043026,0.00001378548,0.000599366,0.00004423112,0.000001623823,0.0006698564,0.1247832,0.8726633,0.00002661891,0.0001901267,0.0009131988],"study_design_scores_gemma":[0.0002870751,0.00001840231,0.0005940883,0.00001479845,0.00004484531,0.00000451614,0.00004768501,0.01128857,0.975329,0.000258041,0.01196552,0.0001474883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786395,0.0004998714,0.03129148,0.00008301376,0.005181054,0.0002466812,0.00008099042,0.0005396557,0.1756823],"genre_scores_gemma":[0.9971182,0.0002964395,0.002007615,0.000002872819,0.00002446539,0.000005633944,0.000004310822,0.00001569743,0.0005247172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2107233,"threshold_uncertainty_score":0.9679232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004123800342516006,"score_gpt":0.1781899242282314,"score_spread":0.1740661238857154,"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."}}