{"id":"W4224000901","doi":"10.1016/j.cattod.2022.04.008","title":"Metallosilicates as an iron support to catalyze Fischer-Tropsch synthesis","year":2022,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Canada Research Chairs; Canada Foundation for Innovation","keywords":"Fischer–Tropsch process; Catalysis; Syngas; Selectivity; Cobalt; Molecular sieve; Chemistry; Inorganic chemistry; Chemical engineering; Nuclear chemistry; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008222731,0.0004435705,0.0007023614,0.0004676181,0.0003523917,0.00004805216,0.00120333,0.0001103027,0.004237076],"category_scores_gemma":[0.0006611235,0.000445439,0.0004435424,0.001284363,0.00005197883,0.0004288151,0.0008633218,0.0005009173,0.001191881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807735,"about_ca_system_score_gemma":0.00008712838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463687,"about_ca_topic_score_gemma":0.00004999884,"domain_scores_codex":[0.9966913,0.00009390317,0.000630448,0.0009563672,0.0008501431,0.0007778121],"domain_scores_gemma":[0.9973966,0.0002088742,0.0001543121,0.001594892,0.00007127714,0.0005740574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007202552,0.000315618,0.0002955207,0.00006632167,0.0003416624,0.0000868529,0.001494572,0.00263592,0.9814574,0.0004298823,0.0005787193,0.01222547],"study_design_scores_gemma":[0.0002524961,0.0001299532,0.0001128111,0.00000941595,0.0005251857,0.000131226,0.0008592816,0.0009181479,0.9311262,0.00005371219,0.06511746,0.000764072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993088,0.0001575563,0.00019654,0.0006305358,0.0002028855,0.0003375872,0.0001449574,0.0004759234,0.004765982],"genre_scores_gemma":[0.989917,0.000005461346,0.000516773,0.0002498923,0.0001647247,0.0007892291,0.001049733,0.0001469136,0.007160213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06453873,"threshold_uncertainty_score":0.9997997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175602749519836,"score_gpt":0.2543752014192266,"score_spread":0.2426191739240283,"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."}}