{"id":"W4387203697","doi":"10.1016/b978-0-443-15377-8.00010-2","title":"Conversion of syngas to olefins and green hydrocarbons through Fischer–Tropsch catalysis","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Saskatchewan","funders":"","keywords":"Syngas; Fischer–Tropsch process; Catalysis; Biochemical engineering; Chemistry; Materials science; Process engineering; Nanotechnology; Environmental science; Organic chemistry; Engineering; 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":[0.00007685643,0.0005062502,0.0002273887,0.0005095046,0.0001597234,0.000670087,0.0003681831,0.0004029438,0.009313765],"category_scores_gemma":[0.0000596209,0.0002763396,0.0002114954,0.0005329103,0.0002448827,0.0009541179,0.0004387132,0.0007022906,0.004582206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089954,"about_ca_system_score_gemma":0.000230215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006941672,"about_ca_topic_score_gemma":0.002491635,"domain_scores_codex":[0.9999386,0.000002299169,0.000002046665,0.000008832756,0.0000395842,0.000008634328],"domain_scores_gemma":[0.9999908,0.000003161377,8.358629e-7,0.000001801426,0.000002229023,0.000001137463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007894993,0.0001346838,0.0001398066,0.001257613,0.0000310204,0.0003965937,0.000269653,0.003078507,0.3261638,0.1038935,0.02802307,0.5365328],"study_design_scores_gemma":[0.000006976597,0.00006180207,0.0003952601,0.0001318063,0.0000111262,0.0005111764,0.00005750574,0.001789451,0.1626983,0.01879895,0.8155215,0.00001601901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04816621,0.1172527,0.03008532,0.001080639,0.0009098954,0.00006913539,0.0006266772,0.0004875826,0.8013219],"genre_scores_gemma":[0.1520716,0.08847196,0.01181703,0.0002512411,0.0001919121,0.00005539586,0.0007269094,0.0002570045,0.746157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009313765,"threshold_uncertainty_score":0.03115761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761426603483382,"score_gpt":0.2338521029703713,"score_spread":0.2162378369355375,"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."}}