{"id":"W3214942245","doi":"10.1039/d1se01508g","title":"On the climate impacts of blue hydrogen production","year":2021,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":326,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Energy System Integration, Paul Scherrer Institut; Canada First Research Excellence Fund; Bundesministerium für Bildung und Forschung","keywords":"Hydrogen production; Production (economics); Hydrogen; Environmental science; Climate change; Carbon fibers; Materials science; Chemistry; Geology; Economics; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007156153,0.0007728707,0.0003456179,0.0007201185,0.0005443743,0.00107103,0.0005584275,0.00116182,0.007039466],"category_scores_gemma":[0.001499856,0.0001434008,0.0004477985,0.001546535,0.000851982,0.001842214,0.001630043,0.001339069,0.0005993504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280316,"about_ca_system_score_gemma":0.0008381064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402194,"about_ca_topic_score_gemma":0.01166178,"domain_scores_codex":[0.9995634,0.0001184593,0.000009035259,0.00003856666,0.0001407635,0.000129781],"domain_scores_gemma":[0.999027,0.0004375429,0.00009449886,0.00003533273,0.0003267352,0.00007883667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00218485,0.000393325,0.04293196,0.001949175,0.000695946,0.002996858,0.0005685973,0.3170961,0.02224106,0.3207857,0.09487583,0.1932806],"study_design_scores_gemma":[0.0001287777,0.0007566244,0.1385953,0.001038562,0.0003893606,0.0004862963,0.004172717,0.09141729,0.01996445,0.4677779,0.2749732,0.0002995007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4409036,0.08473758,0.01145877,0.06140874,0.005643145,0.00004649986,0.007621244,0.0001872705,0.3879932],"genre_scores_gemma":[0.958838,0.03100376,0.0004578846,0.001675614,0.0008647822,0.00001682956,0.0006098215,0.00005490726,0.006478393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402194,"threshold_uncertainty_score":0.02788061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003648312650362027,"score_gpt":0.1859216260214105,"score_spread":0.1822733133710485,"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."}}