{"id":"W4234994804","doi":"10.1149/ma2010-01/9/488","title":"PEM Fuel Cell Non-Noble Metal Catalysts: Challenges and Perspective","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Perspective (graphical); Noble metal; Fuel cells; Proton exchange membrane fuel cell; Catalysis; Materials science; Metal; Chemical engineering; Engineering; Computer science; Metallurgy; Chemistry; Artificial intelligence","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":[0.001850309,0.0008172733,0.001155963,0.0005951115,0.0008935274,0.003796852,0.001193757,0.00429543,0.007013329],"category_scores_gemma":[0.0007373952,0.0004138811,0.0005968818,0.0007161713,0.0008651979,0.005271963,0.001095572,0.002951517,0.002673745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229584,"about_ca_system_score_gemma":0.002181075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518214,"about_ca_topic_score_gemma":0.004913025,"domain_scores_codex":[0.9996798,0.00005463435,0.00001641992,0.00004128132,0.000134849,0.00007289941],"domain_scores_gemma":[0.9995321,0.0001501785,0.00002800936,0.00001486774,0.0001940508,0.00008075981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002029272,0.001136629,0.001345149,0.01260349,0.0003279252,0.003044121,0.0003354233,0.004950277,0.06117536,0.1006516,0.1778234,0.6345773],"study_design_scores_gemma":[0.0002145918,0.001950906,0.001356919,0.00132603,0.000165722,0.00187721,0.00148799,0.003101585,0.02876629,0.05895481,0.9007042,0.00009359018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006534772,0.9244267,0.003092095,0.0426115,0.002969775,0.00003602577,0.0002914581,0.00006889299,0.01996861],"genre_scores_gemma":[0.06047656,0.9132473,0.00549983,0.005835261,0.00295227,0.00007698149,0.0003663301,0.00001954034,0.01152591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007013329,"threshold_uncertainty_score":0.02346188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797784160667785,"score_gpt":0.2000462175871098,"score_spread":0.192248433426442,"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."}}