{"id":"W2468361866","doi":"10.1039/c6ra10150j","title":"Fischer–Tropsch synthesis: effect of Cu, Mn and Zn addition on activity and product selectivity of cobalt ferrite","year":2016,"lang":"en","type":"article","venue":"RSC Advances","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Saskatoon Medical Imaging","funders":"","keywords":"Fischer–Tropsch process; Cobalt; Selectivity; Catalysis; Ferrite (magnet); Cobalt ferrite; Chemistry; Manganese; Inorganic chemistry; Materials science; Nuclear chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639777,0.0001486279,0.0003512078,0.00006235766,0.00002726959,0.000002714899,0.00005709368,0.00005034559,0.000009102737],"category_scores_gemma":[0.0009736905,0.00009574921,0.00004530033,0.000115665,0.00008925466,0.0003443544,0.00003953097,0.00009232471,0.000001272491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004673292,"about_ca_system_score_gemma":0.000008773662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003873908,"about_ca_topic_score_gemma":0.00001838314,"domain_scores_codex":[0.9992117,0.00005599755,0.0001452048,0.0002595214,0.0001647971,0.0001627262],"domain_scores_gemma":[0.9987845,0.0008221293,0.0001320056,0.0001804433,0.00003142027,0.00004949003],"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":[0.0001884988,0.00002674989,0.001370935,0.0004359306,0.0000326908,7.526292e-7,0.00001839088,0.00001192565,0.7987139,0.00005587779,0.000003005467,0.1991413],"study_design_scores_gemma":[0.0003355016,0.0001727067,0.002557298,0.0004042936,0.00004061851,0.000008490909,0.000003521574,0.0001175598,0.9957942,0.00006842578,0.0003793852,0.0001179388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982337,0.0008337958,0.0003234624,0.00005504611,0.00004034268,0.0001625266,0.0000772528,0.00004145249,0.0002323594],"genre_scores_gemma":[0.9994527,0.0002176248,0.0001737169,0.000001174801,0.00005372249,0.00002774272,0.00000232473,0.00001611268,0.00005487278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990234,"threshold_uncertainty_score":0.3904539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007049504921287424,"score_gpt":0.2436594125763722,"score_spread":0.2366099076550848,"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."}}