{"id":"W2101442387","doi":"10.1002/0471238961.fiscdekl.a01","title":"Fischer–Tropsch Process","year":2013,"lang":"en","type":"other","venue":"Kirk-Othmer Encyclopedia of Chemical Technology","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fischer–Tropsch process; Syngas; Gas to liquids; Syngas to gasoline plus; Oxygenate; Refining (metallurgy); Liquefaction; Catalysis; Coal liquefaction; Chemistry; Chemical engineering; Process engineering; Waste management; Organic chemistry; Steam reforming; Engineering; Hydrogen production; Selectivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704489,0.00122107,0.0004858176,0.001987569,0.00128069,0.001152048,0.001029908,0.001560379,0.03423991],"category_scores_gemma":[0.00047096,0.0004263446,0.0007043338,0.001371822,0.0008320906,0.002084951,0.001745896,0.002047836,0.01710061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143592,"about_ca_system_score_gemma":0.001195203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089419,"about_ca_topic_score_gemma":0.003082763,"domain_scores_codex":[0.9990281,0.000063354,0.00004958439,0.000260594,0.000445798,0.0001526186],"domain_scores_gemma":[0.999838,0.00002482547,0.0000205406,0.00003937807,0.00006328828,0.00001402184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004463464,0.0002391555,0.001364022,0.002506927,0.000113798,0.002332444,0.0005541595,0.007844947,0.3728075,0.2890407,0.06089079,0.2618591],"study_design_scores_gemma":[0.00003071797,0.0001728221,0.0005890178,0.000176562,0.00003946594,0.0008955542,0.0001042117,0.003537518,0.2548846,0.01023269,0.7292747,0.00006217208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08019976,0.0275614,0.1419582,0.003856191,0.00303656,0.001375088,0.005492787,0.004138182,0.7323819],"genre_scores_gemma":[0.4921561,0.02480625,0.08115588,0.002201089,0.0005125092,0.0007987569,0.006288003,0.0009391564,0.3911423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03423991,"threshold_uncertainty_score":0.1145439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005027316509376621,"score_gpt":0.2362150284257256,"score_spread":0.2311877119163489,"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."}}