{"id":"W2626139353","doi":"10.5383/ijtee.12.02.007","title":"Solar Powered Electrolysis System for Cooking Applications","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"TRNSYS; Proton exchange membrane fuel cell; Photovoltaic system; Environmental science; Fortran; Hydrogen production; Software; Process engineering; Computer science; Automotive engineering; Simulation; Hydrogen; Engineering; Fuel cells; Meteorology; Electrical engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008036188,0.0002554841,0.0002958629,0.0001553497,0.0004069987,0.0005747248,0.0005711297,0.0005419783,0.005513451],"category_scores_gemma":[0.000224229,0.0001248011,0.0003015585,0.0002296532,0.000206566,0.0004570009,0.0002590992,0.0003136987,0.0008636774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150359,"about_ca_system_score_gemma":0.0006877043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007666441,"about_ca_topic_score_gemma":0.007917446,"domain_scores_codex":[0.9999377,0.000006790592,0.000002825007,0.00001477538,0.00003140438,0.000006574084],"domain_scores_gemma":[0.9999524,0.00001466002,0.000004027806,0.000005882361,0.00001893013,0.000003962586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001212651,0.000103118,0.002300307,0.0002220133,0.00002822426,0.0004913253,0.0001250346,0.9175256,0.03746654,0.009343616,0.002926156,0.02934681],"study_design_scores_gemma":[0.00003477151,0.00006380073,0.001161285,0.00001100648,0.00001273607,0.0001290773,0.00005964614,0.970497,0.01135454,0.001762007,0.01490377,0.00001043584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4533282,0.001098315,0.3735684,0.001180553,0.0002762088,0.0003327211,0.001929726,0.002137925,0.166148],"genre_scores_gemma":[0.9563741,0.0003866542,0.01069277,0.00004506566,0.00001134135,0.00007025841,0.0003026112,0.00003643227,0.03208083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007666441,"threshold_uncertainty_score":0.01844436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006019211064462555,"score_gpt":0.1859718990723354,"score_spread":0.1799526880078728,"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."}}