{"id":"W2267462256","doi":"","title":"Extensive Analysis of Hydrogen Costs","year":2010,"lang":"en","type":"article","venue":"JuSER (Forschungszentrum Jülich)","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fossil fuel; Gasoline; Subsidy; Hydrogen; Hydrogen fuel; Automotive industry; Waste management; Hydrogen economy; Diesel fuel; Coal; Environmental science; Natural resource economics; Economics; Engineering; Chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0003243783,0.0003199934,0.0007532354,0.0006563712,0.00006682811,0.00001671187,0.0005108027,0.0002629249,0.000607576],"category_scores_gemma":[0.0004076757,0.000292584,0.0006169692,0.001727456,0.00009833818,0.0002552927,0.0002206818,0.0005433984,0.0001515457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095213,"about_ca_system_score_gemma":0.00003536201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158579,"about_ca_topic_score_gemma":0.000403822,"domain_scores_codex":[0.9977658,0.00001886587,0.0006489675,0.0004598883,0.0005108989,0.0005955777],"domain_scores_gemma":[0.9981303,0.0001485449,0.0002705732,0.0009839656,0.0001898358,0.0002767599],"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":[0.00003169606,0.00007346798,0.005006315,0.00004176645,0.001564924,0.00001456955,0.0003303131,0.0003866168,0.9869528,0.003093742,0.00007593432,0.002427897],"study_design_scores_gemma":[0.0006495706,0.00003258976,0.006563405,0.00002867674,0.002210603,0.00002681786,0.0001434519,0.01957155,0.9598334,0.0001011886,0.01032435,0.0005144307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945454,0.00009084009,0.0002986759,0.0001185655,0.000334282,0.0002010755,0.00007176126,0.0002086474,0.004130738],"genre_scores_gemma":[0.9979451,0.00001232022,0.0004591316,0.00009044916,0.0001555337,0.00001851458,0.0001608991,0.00007261144,0.00108546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711939,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006925119897219684,"score_gpt":0.2382416065565183,"score_spread":0.2313164866592986,"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."}}