{"id":"W4391381424","doi":"10.1002/cben.202300049","title":"Risk Identification and Safety Technology for Hydrogen Production from Natural Gas Reforming","year":2024,"lang":"en","type":"article","venue":"ChemBioEng Reviews","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Wuhan University of Science and Technology; Wuhan University; Shuangchuang Program of Jiangsu Province; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Production (economics); Natural gas; Identification (biology); Hydrogen production; Environmental science; Business; Waste management; Hydrogen; Engineering; Chemistry; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003801159,0.0001384215,0.0004106392,0.0002732057,0.0002526282,0.000143539,0.0003242338,0.0001011997,0.00003683159],"category_scores_gemma":[0.004727747,0.00008937147,0.0002230073,0.001164322,0.00009516221,0.0003774937,0.00007337934,0.0001926264,0.0002730239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005827286,"about_ca_system_score_gemma":0.00002040559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002080403,"about_ca_topic_score_gemma":0.00006838207,"domain_scores_codex":[0.9978323,0.0001014493,0.000890082,0.0007337978,0.0002769956,0.0001653921],"domain_scores_gemma":[0.9986436,0.0002450361,0.0002897532,0.0006485453,0.000129006,0.00004404838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001066413,0.000006285208,0.0004498306,0.00002890584,0.00003011521,5.363631e-7,0.0002610848,0.000002953552,0.0139779,0.0002088898,0.00200516,0.9830177],"study_design_scores_gemma":[0.0001043451,0.0000146597,0.000534497,0.0001516627,0.0002063829,0.00001099269,0.0004321497,0.004823427,0.05401946,0.09836309,0.8411486,0.0001907619],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.653236,0.3231716,0.006220988,0.01459533,0.001253016,0.001091746,0.00005895336,0.0001833372,0.0001890153],"genre_scores_gemma":[0.889683,0.1029983,0.003135123,0.0000448973,0.0004543291,0.0001372028,0.00007911855,0.00001996188,0.003448091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9828269,"threshold_uncertainty_score":0.5659896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04990497781631383,"score_gpt":0.3629916928214081,"score_spread":0.3130867150050943,"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."}}