{"id":"W2008088049","doi":"10.1016/j.jpowsour.2005.09.054","title":"Colloidal Au and Au-alloy catalysts for direct borohydride fuel cells: Electrocatalysis and fuel cell performance","year":2005,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":188,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Borohydride; Electrocatalyst; Chronoamperometry; Dehydrogenation; Electrochemistry; Catalysis; Anode; Cyclic voltammetry; Chemistry; Inorganic chemistry; Metal; Chemical engineering; Materials science; Colloid; Electrode; Metallurgy; Physical chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007705454,0.0003522052,0.0005960608,0.0004268218,0.0002586953,0.00009447287,0.0003544052,0.0001710805,0.00001806478],"category_scores_gemma":[0.00007140818,0.0003032003,0.0002421529,0.0003112282,0.0001361948,0.000691362,0.00009422658,0.0002864562,0.00001104878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235685,"about_ca_system_score_gemma":0.0002625226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004111652,"about_ca_topic_score_gemma":0.001639311,"domain_scores_codex":[0.9977582,0.00006021357,0.0006627428,0.0003550971,0.0005168081,0.0006469384],"domain_scores_gemma":[0.9983122,0.0002008149,0.0006241488,0.000268311,0.0002746918,0.00031984],"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":[0.002771736,0.0007765155,0.02632511,0.001321197,0.001858715,0.00007327939,0.02583677,0.006362137,0.9067624,0.0002367227,0.008840877,0.0188346],"study_design_scores_gemma":[0.002739742,0.001216082,0.00253064,0.00008440461,0.0004528451,0.000242045,0.000667785,0.001009758,0.7589957,0.00007302244,0.2313851,0.000602852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890576,0.004843606,0.00004966661,0.0003951546,0.0002159369,0.0001086357,0.000003445523,0.00003327851,0.005292692],"genre_scores_gemma":[0.9954903,0.001128608,0.0007184193,0.0001564031,0.0005565895,0.000007259081,0.00001050013,0.00005953306,0.001872456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2225442,"threshold_uncertainty_score":0.999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004341177906536512,"score_gpt":0.1962494880161108,"score_spread":0.1919083101095743,"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."}}