{"id":"W3123956056","doi":"","title":"The role of biomass in California's hydrogen economy","year":2009,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Southern California Gas Company; General Motors Corporation; U.S. Department of Transportation; Petrobras; U.S. Department of Energy; U.S. Environmental Protection Agency; California Department of Transportation; ConocoPhillips","keywords":"Biomass (ecology); Hydrogen production; Environmental science; Greenhouse gas; Context (archaeology); Waste management; Raw material; Hydrogen; Environmental engineering; Engineering; Chemistry; Ecology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002105716,0.0003492161,0.000290444,0.0003116653,0.0007842041,0.001510457,0.0006550081,0.0005390936,0.002935223],"category_scores_gemma":[0.0004016271,0.0003031762,0.0002988458,0.0003843967,0.000658683,0.001248313,0.0005337302,0.0004738577,0.0001494003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926753,"about_ca_system_score_gemma":0.001944522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1674331,"about_ca_topic_score_gemma":0.1304147,"domain_scores_codex":[0.9999082,0.0000188032,0.000002012611,0.00002015424,0.00002584415,0.00002496087],"domain_scores_gemma":[0.9999,0.00004011692,0.00001103716,0.000006397732,0.00002140661,0.00002099737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001069302,0.00005290719,0.008321851,0.00007665424,0.0000256216,0.0002486382,0.0001488717,0.8898378,0.00148935,0.08899239,0.002558989,0.008139994],"study_design_scores_gemma":[0.0001228787,0.0001344594,0.009088285,0.00006239625,0.00006520532,0.00006226987,0.0007557471,0.9170616,0.001343969,0.04994709,0.0213049,0.00005113555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724691,0.001736697,0.01101561,0.002446099,0.00005414741,0.00002919998,0.0007016233,0.00009283699,0.1114546],"genre_scores_gemma":[0.9896577,0.0008551269,0.001361642,0.00004284328,0.000007958322,0.00001488138,0.0001448299,0.00001202748,0.007903037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1674331,"threshold_uncertainty_score":0.332917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007057366961861662,"score_gpt":0.1859226046554879,"score_spread":0.1788652376936263,"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."}}