{"id":"W7036596122","doi":"","title":"Characterization of doping atoms (Ta, Nb) in advanced PEM fuel cell supports and catalysts as well as of the surface-solvent interaction of laser-generated Pt nanoparticles : A XAFS study","year":2016,"lang":"en","type":"dissertation","venue":"bonndoc (University of Bonn)","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source","keywords":"XANES; X-ray absorption fine structure; Catalysis; Extended X-ray absorption fine structure; Dopant; Nanoparticle; Doping; Proton exchange membrane fuel cell; Carbon fibers; Coordination number","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009503472,0.0001795321,0.0001465197,0.0002680072,0.0001933829,0.0002415465,0.0002484257,0.000373679,0.001378294],"category_scores_gemma":[0.0001728466,0.0001619008,0.0001792334,0.0002741129,0.0001456524,0.0001622669,0.0001046151,0.0002635613,0.0004544064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629033,"about_ca_system_score_gemma":0.0001251505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163969,"about_ca_topic_score_gemma":0.001651214,"domain_scores_codex":[0.9998989,0.000004422539,0.000007311945,0.0000324924,0.00004232522,0.00001460594],"domain_scores_gemma":[0.9999225,0.00001647334,0.00001986738,0.000007647198,0.00002587493,0.000007540841],"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":[0.00002635552,0.000007403112,0.0004112977,0.00003227837,0.000002996609,0.00003092565,0.00003353502,0.00009988551,0.9981573,0.00003998544,0.00003257596,0.001125534],"study_design_scores_gemma":[0.000001740043,0.00004271315,0.00279989,0.000006445173,0.000006914681,0.00004598615,0.00005495932,0.0006061018,0.9949345,0.00001457833,0.001483653,0.00000258505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951414,0.0006819,0.001924542,0.00003681082,0.00001178815,0.00001764056,0.0005798186,0.00002763502,0.001578471],"genre_scores_gemma":[0.9920563,0.0006882432,0.003332992,0.00001925387,0.000004418834,0.0000414414,0.0005225334,0.00003105069,0.003303869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001378294,"threshold_uncertainty_score":0.004610837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004989198807423697,"score_gpt":0.2002046839667261,"score_spread":0.1952154851593024,"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."}}