{"id":"W2254197673","doi":"10.1016/j.ijhydene.2016.01.057","title":"Hydrogen emission characterization for proton exchange membrane fuel cell during oxygen starvation – Part 1: Low oxygen concentration","year":2016,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ballard Power Systems (Canada); Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu","keywords":"Proton exchange membrane fuel cell; Hydrogen; Hydrogen sensor; Stack (abstract data type); Cathode; Oxygen; Current (fluid); Nuclear engineering; Hydrogen production; Oxygen sensor; High-pressure electrolysis; Limiting oxygen concentration; Chemistry; Materials science; Chemical engineering; Analytical Chemistry (journal); Environmental science; Fuel cells; Computer science; Catalysis; Electrical engineering; Electrode; Electrolyte; Environmental chemistry; Engineering","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":[0.0001850166,0.0003263574,0.0003252789,0.0002003597,0.0003569729,0.0002576173,0.0003752191,0.0005537349,0.001362043],"category_scores_gemma":[0.0001980556,0.0001489308,0.0003036813,0.0001843249,0.0002462028,0.0004170672,0.0001886458,0.0003121057,0.0002467021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308169,"about_ca_system_score_gemma":0.0001981286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546016,"about_ca_topic_score_gemma":0.002183303,"domain_scores_codex":[0.9998611,0.000007837792,0.00000571559,0.00004156664,0.00005655764,0.0000271159],"domain_scores_gemma":[0.9998931,0.00003007722,0.00001187685,0.000008050543,0.00004790511,0.000008897077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002017187,0.00001920969,0.000657818,0.00002824,0.000003866392,0.00005724626,0.00004622527,0.0002121131,0.9971072,0.00002714796,0.00008819972,0.001551013],"study_design_scores_gemma":[0.000004510051,0.00009410727,0.004873641,0.000002039663,0.000004106816,0.0000485895,0.00006100275,0.001534618,0.992892,0.00001619699,0.0004632429,0.000005858188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947441,0.0002652731,0.003894472,0.0000486386,0.00001389602,0.00001780901,0.0003087175,0.00005108801,0.0006561129],"genre_scores_gemma":[0.9968545,0.0001370523,0.001220863,0.00003089931,0.000004041281,0.0000304104,0.0004510304,0.00002361809,0.001247595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001546016,"threshold_uncertainty_score":0.004556537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007090738163075753,"score_gpt":0.1985787060032445,"score_spread":0.1914879678401687,"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."}}