{"id":"W2263833281","doi":"10.1149/ma2013-02/15/1435","title":"Empirical Lifetime Prediction Model for Heavy Duty Bus Fuel Cell Membranes","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Heavy duty; Membrane; Fuel cells; Automotive engineering; Nuclear engineering; Computer science; Environmental science; Engineering; Chemistry; Chemical 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":[0.0002460324,0.0002055133,0.0002172551,0.00005500692,0.00008783616,0.00009976266,0.0001131428,0.0002645777,0.00006177186],"category_scores_gemma":[0.00005524397,0.0001857909,0.00007927312,0.00005817421,0.00002105808,0.0001607077,0.0000202478,0.0001713199,0.0002871232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744764,"about_ca_system_score_gemma":0.00002032861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004530678,"about_ca_topic_score_gemma":0.000001532457,"domain_scores_codex":[0.9988089,0.00001359157,0.000423783,0.0002197357,0.000148202,0.0003858549],"domain_scores_gemma":[0.9994262,0.000115426,0.00006803126,0.0001774876,0.00006614851,0.0001467123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000892672,0.00003490016,0.00002494485,0.001442915,0.00001699111,0.000001661739,0.0002531441,0.9265357,0.06215547,1.705948e-7,0.009508315,0.00001686893],"study_design_scores_gemma":[0.0004205249,0.00003163018,0.0003715591,0.00008363097,0.00002943626,0.000005448979,0.0000268309,0.8931811,0.1005339,0.0004139163,0.004666449,0.0002355444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422156,0.002591382,0.00009085522,0.0002563415,0.001749386,0.0006689737,0.00005370034,0.0009526248,0.2514211],"genre_scores_gemma":[0.9944642,0.000472376,0.003545697,0.00005001023,0.0003796614,0.00006823739,0.00003359254,0.00007182841,0.0009143603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2522486,"threshold_uncertainty_score":0.7576333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144927332971701,"score_gpt":0.2200974455033517,"score_spread":0.2056047122061816,"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."}}