{"id":"W4256458554","doi":"10.1149/ma2017-02/32/1405","title":"Advances in Structural Characterization Using Soft X-ray Scanning Transmission Microscopy (STXM): Mapping and Measuring Porosity in PEM-FC Catalyst Layers","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Materials science; Porosity; Electrode; Focused ion beam; Scanning electron microscope; Microscopy; Analytical Chemistry (journal); Chemical engineering; Composite material; Chemistry; Optics; Ion; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001118833,0.0002483166,0.0003342805,0.0001999144,0.0006390103,0.0004122702,0.0003132472,0.0001249948,0.000008427144],"category_scores_gemma":[0.0001787937,0.0002536529,0.00003488038,0.000103105,0.0001139997,0.001319899,0.00007657734,0.0002996406,0.000002158426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806696,"about_ca_system_score_gemma":0.00007384432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018558,"about_ca_topic_score_gemma":0.0002692388,"domain_scores_codex":[0.9980976,0.00007781308,0.0004990373,0.0005131832,0.0002544509,0.0005578974],"domain_scores_gemma":[0.9990561,0.0000451121,0.0004788685,0.0002766443,0.00004343226,0.00009984673],"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":[0.00005190507,0.00001576439,0.03002357,0.000100888,0.000001214281,0.0000175093,0.0009144578,0.001312651,0.9663233,0.000001780165,4.312133e-7,0.001236566],"study_design_scores_gemma":[0.0002899839,0.00002754054,0.1904812,0.001044519,0.000005111166,0.000008311686,0.00009338321,0.001845812,0.8058341,0.00006395336,0.0000643743,0.000241814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975289,0.0004928531,0.0003316113,0.00009195477,0.0001924222,0.0002512009,0.000006010528,0.00011365,0.0009913711],"genre_scores_gemma":[0.9898804,0.0001402387,0.009811742,0.00002349994,0.00008526183,0.000006519125,0.00001328677,0.00002787172,0.00001117388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604892,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809312470773202,"score_gpt":0.28647913843129,"score_spread":0.268386013723558,"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."}}