{"id":"W2474239512","doi":"10.1002/cjce.22433","title":"Micro‐syngas technology options for GtL","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Natural gas; Syngas; Methane; Refinery; Gas to liquids; Chemistry; Steam reforming; Hydrocarbon; Waste management; Liquefied natural gas; Syngas to gasoline plus; Renewable natural gas; Environmental science; Fuel gas; Organic chemistry; Engineering; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003771349,0.0004661746,0.0003481036,0.0005139391,0.0002819413,0.0008093559,0.0005280881,0.000428851,0.0067586],"category_scores_gemma":[0.0002370155,0.0001607919,0.0004177805,0.000482945,0.0002475124,0.0009020336,0.0004004024,0.0005864229,0.001050672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225388,"about_ca_system_score_gemma":0.0005672086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771504,"about_ca_topic_score_gemma":0.006589728,"domain_scores_codex":[0.9997782,0.00002315359,0.000007965419,0.00003864429,0.0001147651,0.00003723164],"domain_scores_gemma":[0.9999104,0.00002088826,0.0000196373,0.00001136011,0.0000259852,0.00001169662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005523292,0.0003661989,0.003126216,0.001674083,0.00007152952,0.0005743097,0.0000763986,0.06947029,0.7615311,0.02021484,0.004256349,0.1380863],"study_design_scores_gemma":[0.00009417735,0.002160945,0.004495957,0.0001357652,0.0001123898,0.0004765665,0.0002597319,0.1080317,0.782585,0.005669645,0.09591851,0.00005971458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7915996,0.02407332,0.07254654,0.002935574,0.0003228021,0.0003866915,0.002032643,0.0008052533,0.1052976],"genre_scores_gemma":[0.9723591,0.0030234,0.01702518,0.0001199955,0.00002926989,0.0000837422,0.0003237255,0.00004635687,0.006989187],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0067586,"threshold_uncertainty_score":0.02260977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008664895226914405,"score_gpt":0.2047022120418541,"score_spread":0.1960373168149397,"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."}}