{"id":"W1984443057","doi":"10.1361/105994906x117305","title":"Carbonate Fuel Cell Materials","year":2006,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"FuelCell Energy (Canada)","funders":"","keywords":"Stack (abstract data type); Fuel cells; Materials science; Electrolyte; Current (fluid); Process engineering; Key (lock); Electrode; Engineering physics; Nuclear engineering; Electrical engineering; Computer science; Engineering; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003528861,0.0002125222,0.0003944185,0.0001375432,0.0000287471,0.0001116607,0.0001148109,0.0001292104,0.0001020433],"category_scores_gemma":[0.000004061382,0.0001744412,0.00003398957,0.00006465999,0.00001752695,0.0002101643,0.00002107798,0.0001057251,0.00001380194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662385,"about_ca_system_score_gemma":0.00001005713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001147242,"about_ca_topic_score_gemma":1.673746e-7,"domain_scores_codex":[0.9988875,0.00001332877,0.0006144411,0.00008305041,0.0001416371,0.0002600662],"domain_scores_gemma":[0.9996393,0.00001918745,0.0001286035,0.0001016716,0.0000456817,0.0000655512],"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":[0.00003020019,0.00001136053,0.00002459277,0.002672806,0.0000216918,0.00002000329,0.00003763988,0.1277058,0.8690882,0.00001398487,0.0003388149,0.00003495892],"study_design_scores_gemma":[0.0005765544,0.0001081567,0.001346688,0.0001989554,0.0000383283,0.0002174115,0.000005079492,0.002541297,0.9830219,0.00003371428,0.01163063,0.0002812649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900088,0.004854921,0.00001643107,0.000009363761,0.003086524,0.0000725022,0.00002079364,0.00008410857,0.001846515],"genre_scores_gemma":[0.9916909,0.006735449,0.0006727287,0.000005936492,0.0007297568,0.000004525656,0.000005227135,0.00004892367,0.0001065283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251645,"threshold_uncertainty_score":0.7113507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002427844447252258,"score_gpt":0.1433026500270614,"score_spread":0.1408748055798091,"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."}}