{"id":"W2916784221","doi":"10.2172/1134126","title":"Stationary Fuel Cell System Composite Data Products [Slides]","year":2014,"lang":"en","type":"report","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Efficiency; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Composite number; Fuel cells; Computer science; Engineering; Chemical engineering; Algorithm; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002464656,0.0005508559,0.0002607959,0.001928094,0.0007943268,0.000832183,0.0006451448,0.0002975687,0.2067628],"category_scores_gemma":[0.0004853006,0.0002553217,0.0002433672,0.001602258,0.0001358139,0.0007252341,0.0004296656,0.000535253,0.05607331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134859,"about_ca_system_score_gemma":0.001322907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004477062,"about_ca_topic_score_gemma":0.009788113,"domain_scores_codex":[0.9996681,0.000007159968,0.000007962697,0.00002709307,0.0002583505,0.00003132961],"domain_scores_gemma":[0.9995647,0.00003064195,0.00002164771,0.00002573317,0.0003227667,0.00003437754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003955568,0.000323772,0.00219579,0.0004618269,0.00001593924,0.0001834713,0.00004180266,0.0004606494,0.04570851,0.002203542,0.7682794,0.1797298],"study_design_scores_gemma":[0.00003956391,0.0003057433,0.01083161,0.00006141293,0.00001912923,0.000296786,0.00009583571,0.0005435301,0.10443,0.0005670856,0.8827892,0.00002018508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.03470968,0.001547225,0.005841933,0.0005865706,0.001332016,0.001401364,0.1248984,0.00335353,0.8263293],"genre_scores_gemma":[0.07428256,0.002586919,0.01072935,0.0002397842,0.0002236706,0.0004536588,0.1543166,0.0006570932,0.7565104],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2067628,"threshold_uncertainty_score":0.6916904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256946995369218,"score_gpt":0.2330934171057425,"score_spread":0.2005239471520503,"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."}}