{"id":"W4362510948","doi":"10.1002/admi.202202430","title":"FIB‐SEM and ToF‐SIMS Analysis of High‐Temperature PEM Fuel Cell Electrodes","year":2023,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Center of Excellence for Learning in Education, Science and Technology","keywords":"Materials science; Electrolyte; Membrane electrode assembly; Electrode; Scanning electron microscope; Cathode; Secondary ion mass spectrometry; Proton exchange membrane fuel cell; Chemical engineering; Focused ion beam; Nanometre; Analytical Chemistry (journal); Nanotechnology; Ion; Mass spectrometry; Composite material; Fuel cells; Chromatography; Chemistry","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":[0.0001395064,0.0002471662,0.0006058433,0.0002742057,0.00003859983,0.00008012158,0.0001557915,0.0001666319,0.0005520213],"category_scores_gemma":[0.00001270566,0.0002075988,0.00005146173,0.0005273769,0.00004997533,0.0002079379,0.00007183784,0.00007941861,0.00005582064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929046,"about_ca_system_score_gemma":0.000005698471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002890504,"about_ca_topic_score_gemma":0.0000110163,"domain_scores_codex":[0.9988527,0.00003477726,0.0004112463,0.0002662844,0.000118285,0.0003167298],"domain_scores_gemma":[0.9995084,0.00006234882,0.00008823792,0.0002461962,0.00004261177,0.0000521957],"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":[0.00004144035,0.000009730838,0.000004982906,0.00105341,0.0003183992,0.000006309507,0.0002304329,0.03528892,0.9623785,0.00004036718,0.0005879764,0.00003951611],"study_design_scores_gemma":[0.0002606747,0.00006934437,0.0001690187,0.00005032776,0.0002421906,0.000001751776,0.0001012975,0.0001802706,0.9969851,0.0005600499,0.001150748,0.0002292375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939384,0.003271655,0.000004936704,0.00004510059,0.001312114,0.0001394401,0.0002222325,0.000319588,0.0007464659],"genre_scores_gemma":[0.9872903,0.01136559,0.0003971026,0.00001839072,0.0000606479,0.00001927217,0.00008582553,0.0000473853,0.0007154542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03510865,"threshold_uncertainty_score":0.8465635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00308816262457303,"score_gpt":0.1959289604090209,"score_spread":0.1928407977844478,"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."}}