{"id":"W2335642196","doi":"10.1002/fuce.201690001","title":"Fuel Cells – Lots of Energy for 2016","year":2016,"lang":"en","type":"article","venue":"Fuel Cells","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuel cells; Editorial board; Microbial fuel cell; Computer science; Library science; Operations research; Electricity generation; Engineering; Power (physics); Physics; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214936,0.0002084733,0.0003073895,0.00008145587,0.00001914861,0.0000156499,0.0001955155,0.0002120574,0.000561717],"category_scores_gemma":[0.000006400784,0.0001396231,0.0001308233,0.00007270516,0.00004839614,0.0000857762,0.00003434778,0.00003851323,0.0002683694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454675,"about_ca_system_score_gemma":0.00002036378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552908,"about_ca_topic_score_gemma":0.000004381466,"domain_scores_codex":[0.9989326,0.00001771193,0.0003603922,0.0002038802,0.0001211692,0.0003642667],"domain_scores_gemma":[0.9993228,0.000135808,0.00007125877,0.0003053744,0.00006348498,0.0001012222],"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":[0.00002451371,0.00003383115,0.0000040634,0.00145607,0.00006435462,0.000003824872,0.00005491087,0.00091644,0.9582036,0.0002388047,0.03834418,0.0006553964],"study_design_scores_gemma":[0.0006070289,0.00005034848,0.000005725332,0.0001008813,0.00002388505,0.000001098864,0.000004757788,0.0001661589,0.7125564,0.001396449,0.2848869,0.0002003425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1196922,0.07443291,0.04832977,0.0006591484,0.04765654,0.002660938,0.002616691,0.002623281,0.7013285],"genre_scores_gemma":[0.9647168,0.01383456,0.001849705,0.00005251452,0.0004096707,0.00003854087,0.00001191106,0.000121238,0.01896504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8450246,"threshold_uncertainty_score":0.6150408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006292487229465509,"score_gpt":0.1789633968061734,"score_spread":0.1726709095767079,"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."}}