{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007854971,0.0005394552,0.0005668457,0.002538847,0.0003582976,0.001295199,0.0005616918,0.0004701432,0.007144602],"category_scores_gemma":[0.00403667,0.000221069,0.0008151477,0.003657067,0.0002507709,0.001619022,0.0003055531,0.0005200122,0.0006001945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614582,"about_ca_system_score_gemma":0.0008719163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006880251,"about_ca_topic_score_gemma":0.005305786,"domain_scores_codex":[0.9992554,0.0001298966,0.00002715354,0.00007575156,0.0004360561,0.00007577077],"domain_scores_gemma":[0.9972098,0.001830003,0.0002028592,0.0001915127,0.0005339456,0.00003187577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000507928,0.0001733652,0.03209849,0.001634915,0.000879204,0.0009419676,0.0002295667,0.430883,0.005011462,0.1628875,0.0132852,0.3514675],"study_design_scores_gemma":[0.00005904308,0.000610035,0.1497463,0.0007367198,0.00104382,0.001592395,0.001277778,0.4525429,0.03364341,0.1385914,0.2198908,0.0002652828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6235556,0.02466576,0.1344237,0.001293937,0.0002591893,0.0003823711,0.02058334,0.0002401746,0.194596],"genre_scores_gemma":[0.9589911,0.005999332,0.0112238,0.00006820821,0.00006494454,0.000119637,0.005521568,0.0001014944,0.01790996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007144602,"threshold_uncertainty_score":0.02390105,"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."}}