{"id":"W3023481340","doi":"10.1021/acs.energyfuels.0c01275","title":"Preface to the PetroPhase 2019 Special Issue","year":2020,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001534171,0.001435379,0.0009895072,0.00306645,0.002251979,0.007879062,0.00137027,0.002863555,0.8202726],"category_scores_gemma":[0.007486953,0.0006861669,0.0009927517,0.002113425,0.0004534551,0.004152162,0.002506109,0.003491493,0.7877528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225286,"about_ca_system_score_gemma":0.002142306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749356,"about_ca_topic_score_gemma":0.004935554,"domain_scores_codex":[0.9988979,0.00007663848,0.00007892215,0.00010747,0.0006645466,0.0001744892],"domain_scores_gemma":[0.9932784,0.0005216571,0.0002691639,0.0005098295,0.003516298,0.001904713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000124908,0.00001101273,0.00003054765,0.00002974659,6.545358e-7,0.00001748644,0.000004221174,0.000009110564,0.00006483666,0.0002253219,0.9884679,0.01112664],"study_design_scores_gemma":[0.000004235528,0.00000962468,0.0001577827,0.00003478179,8.094725e-7,0.00002662444,0.00001327677,0.00001978587,0.00005113982,0.0001823042,0.9994957,0.000003910482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0006237076,0.001933581,0.002002032,0.01250627,0.1757376,0.0008487335,0.008584389,0.00422004,0.7935436],"genre_scores_gemma":[0.001235811,0.00110407,0.0005732988,0.00235802,0.01931619,0.0001545857,0.003339104,0.001609921,0.9703091],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.8202726,"threshold_uncertainty_score":0.2563593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077931018639359,"score_gpt":0.2289782623107691,"score_spread":0.2181989521243756,"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."}}