{"id":"W300471625","doi":"10.1023/a:1026542821607","title":"Improvement of the high energy ball-milling preparation procedure of CO tolerant Pt and Ru containing catalysts for polymer electrolyte fuel cells","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Catalysis; Leaching (pedology); Ball mill; Metal; Materials science; Electrochemistry; Reducing agent; Electrolyte; Ruthenium; Chemical engineering; Nuclear chemistry; Chemistry; Metallurgy; Electrode; Organic chemistry; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348018,0.0004024133,0.0004373938,0.0003596423,0.0002843276,0.0004375196,0.000563057,0.0004748258,0.001229449],"category_scores_gemma":[0.0006587442,0.0003074141,0.0003566323,0.0003032899,0.0001556181,0.0006393291,0.0002682858,0.0008995463,0.0008699048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182736,"about_ca_system_score_gemma":0.0002647594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003738015,"about_ca_topic_score_gemma":0.0009735637,"domain_scores_codex":[0.9996458,0.0000461604,0.00004587863,0.00006844429,0.0001614552,0.00003225451],"domain_scores_gemma":[0.9997023,0.00007369534,0.00005418124,0.00006779091,0.0000876328,0.00001441593],"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":[0.00004668006,0.00005241767,0.0001188905,0.0001094592,0.000006004293,0.00005146788,0.00002392506,0.0001898208,0.9854482,0.0002822506,0.0001194123,0.01355152],"study_design_scores_gemma":[0.000003776879,0.00005850914,0.0004569164,0.000002005597,0.000007137763,0.0001219526,0.000004870369,0.0009251101,0.9967038,0.00003114402,0.001680639,0.000004207523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8345517,0.003021318,0.1546041,0.0004047601,0.0003102235,0.0002321823,0.000336196,0.001017329,0.005522323],"genre_scores_gemma":[0.9181916,0.001727771,0.07404917,0.000107363,0.00006586645,0.00007036218,0.0005222147,0.000202864,0.005062704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001229449,"threshold_uncertainty_score":0.004112899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001817461694638789,"score_gpt":0.1740553799739606,"score_spread":0.1722379182793219,"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."}}