{"id":"W1824611961","doi":"10.3968/j.est.1923847920130602.2950","title":"Molten Carbonate Fuel Cell Combined Heat, Hydrogen and Power System: Feedstock Analysis","year":2013,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biogas; Waste management; Molten carbonate fuel cell; Renewable energy; Raw material; Fossil fuel; Anaerobic digestion; Environmental science; Energy source; Greenhouse gas; Hydrogen fuel; Waste-to-energy; Renewable resource; Fuel cells; Methane; Engineering; Municipal solid waste; Chemistry; Chemical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004271217,0.0003174248,0.00058238,0.001900565,0.0003688553,0.0001434384,0.0006735662,0.0002773686,0.00005160518],"category_scores_gemma":[0.00005452062,0.0002689256,0.00006511173,0.004746324,0.001245664,0.0003596883,0.0004144203,0.0001484513,0.00003101708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478088,"about_ca_system_score_gemma":0.0001360696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02875893,"about_ca_topic_score_gemma":0.001439365,"domain_scores_codex":[0.9973434,0.0000621959,0.0004196888,0.0009086528,0.0004896377,0.0007763783],"domain_scores_gemma":[0.9984339,0.00004425048,0.0001233526,0.0008123509,0.0003064913,0.0002796447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002696261,0.0002335392,0.02699363,0.0001422973,0.0009790889,0.0001965866,0.0004501111,0.03089088,0.2045123,0.7303126,0.0007916075,0.004470358],"study_design_scores_gemma":[0.005227014,0.001652179,0.009316493,0.0001636886,0.001244625,0.0009043372,0.007235241,0.5871956,0.2354824,0.01875631,0.1287163,0.004105786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669933,0.002294774,0.00006805576,0.0008482721,0.0002512899,0.0001410937,0.000003285558,0.0005621171,0.1288378],"genre_scores_gemma":[0.9966621,0.00008583014,0.0001806428,0.0001145268,0.00002974011,0.0001264666,0.00000524322,0.00002816623,0.002767311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7115564,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003078706432481882,"score_gpt":0.1746120714634268,"score_spread":0.1715333650309449,"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."}}