{"id":"W4241190963","doi":"10.1016/s1464-2859(08)70273-6","title":"Hydrogenics electrolyzer for remote wind-hydrogen system","year":2008,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Diesel fuel; Electrolysis; Environmental science; Waste management; Hydrogen; Wind hybrid power systems; Wind power; Engineering; Environmental engineering; Marine engineering; Meteorology; Electrical engineering; Geography; Renewable energy; Grid energy storage; Chemistry; Distributed generation","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004788835,0.0004749913,0.0006539264,0.0001597348,0.0003225421,0.00003862568,0.0005749656,0.0003117949,0.0003770011],"category_scores_gemma":[0.00005498522,0.0004681822,0.0004247416,0.0002808209,0.00008658321,0.00004287157,0.0000859717,0.0002134781,0.002927055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162994,"about_ca_system_score_gemma":0.0001433373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525579,"about_ca_topic_score_gemma":0.0001117427,"domain_scores_codex":[0.9967219,0.0002121394,0.0007555219,0.0007663571,0.0005024818,0.001041617],"domain_scores_gemma":[0.9981533,0.0001850163,0.0002733324,0.0009319928,0.000156865,0.0002995334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007749799,0.0004520862,0.0001515499,0.002461846,0.001360313,0.001378895,0.001294629,0.3015903,0.3665051,0.0120181,0.309033,0.002979159],"study_design_scores_gemma":[0.001091402,0.0001078412,0.000003739246,0.00005580593,0.00004831149,0.0003866777,0.0000478572,0.006565941,0.1767995,0.0000555741,0.8143635,0.0004738236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351594,0.009581282,0.006913743,0.001374274,0.004451347,0.00265325,0.0001244377,0.002985275,0.3367569],"genre_scores_gemma":[0.9484033,0.0001515882,0.002774437,0.0003172229,0.001359952,0.00005727396,0.00007539425,0.0002305045,0.04663032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5053305,"threshold_uncertainty_score":0.999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118967039219354,"score_gpt":0.1961474125619961,"score_spread":0.1842507086400607,"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."}}