{"id":"W4250437454","doi":"10.1016/j.jpowsour.2014.12.093","title":"In-situ diagnostic tools for hydrogen transfer leak characterization in PEM fuel cell stacks part I: R&D applications","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ballard Power Systems (Canada); Simon Fraser University","funders":"Ballard Power Systems","keywords":"Proton exchange membrane fuel cell; Anode; Stack (abstract data type); Hydrogen; Cathode; Electrolyte; Nuclear engineering; Hydrogen fuel; Materials science; Hydrogen fuel enhancement; Analytical Chemistry (journal); Chemical engineering; Chemistry; Fuel cells; Electrode; Computer science; Engineering; Chromatography","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":[0.0002713323,0.0003635112,0.0002290808,0.0003765275,0.000223773,0.0004957601,0.0006422639,0.0005748993,0.001903791],"category_scores_gemma":[0.0004427316,0.0002621363,0.0001288953,0.0001923753,0.0002884224,0.0008260797,0.0004215878,0.0003907202,0.0003735986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557008,"about_ca_system_score_gemma":0.0001158175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019955,"about_ca_topic_score_gemma":0.0005487503,"domain_scores_codex":[0.9998406,0.00003125223,0.000006502956,0.00003573639,0.00006661808,0.00001915935],"domain_scores_gemma":[0.9997107,0.000113853,0.00006472362,0.00003476987,0.00006402432,0.00001192207],"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":[0.00008883472,0.00002272323,0.0004887825,0.00008593118,0.000004804572,0.00005767986,0.00008932558,0.0001972232,0.9903504,0.0001886706,0.0001774292,0.008248143],"study_design_scores_gemma":[0.000004940071,0.00004987749,0.0009875415,0.000005823126,0.000007865573,0.0001300526,0.00009911817,0.004135066,0.9931329,0.00009186351,0.001349505,0.000005566712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371353,0.003035469,0.1516249,0.0004904076,0.0001048408,0.00007129563,0.000505426,0.001188262,0.005844084],"genre_scores_gemma":[0.9652621,0.0006526946,0.03125657,0.00008786311,0.00002170529,0.00003462006,0.00009089614,0.00005737802,0.002536267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001903791,"threshold_uncertainty_score":0.006368876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00879258009285148,"score_gpt":0.2028323856884155,"score_spread":0.194039805595564,"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."}}