{"id":"W2768199243","doi":"10.1002/cjce.23079","title":"Transition metals cobaltites spinel for depollution of NO<sub>x</sub> emissions using SCR technology","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalysis; Spinel; Physisorption; Transition metal; Selective catalytic reduction; NOx; Chemiluminescence; Materials science; X-ray photoelectron spectroscopy; Analytical Chemistry (journal); Chemistry; Chemical engineering; Nuclear chemistry; Combustion; Metallurgy; Physical chemistry; Chromatography; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007206848,0.0002083438,0.0002145626,0.0001266615,0.0001058728,0.000237465,0.0002198345,0.000173411,0.0007576672],"category_scores_gemma":[0.0001611842,0.00008425829,0.0001305138,0.0000959054,0.0001345338,0.0001447844,0.0001667752,0.0002080082,0.0002988179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107592,"about_ca_system_score_gemma":0.0001821386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104072,"about_ca_topic_score_gemma":0.003077471,"domain_scores_codex":[0.9998769,0.000008586604,0.000005712203,0.00002456391,0.00006201546,0.00002232968],"domain_scores_gemma":[0.9999059,0.00001364992,0.00002285163,0.000009198935,0.00003350044,0.0000148154],"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":[0.00002555789,0.000004901361,0.00006149188,0.00002801216,0.000001468127,0.0000129553,0.000005565793,0.00003197851,0.9987937,0.000033407,0.00003369721,0.0009671997],"study_design_scores_gemma":[0.000003847704,0.00003696349,0.0003050012,0.000001381289,0.000004125217,0.00002557563,0.000004812374,0.0005112502,0.9984667,0.000006416251,0.0006326097,0.000001264108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819104,0.001080546,0.01276231,0.0001177194,0.00005984338,0.00003267864,0.0001405812,0.0004146458,0.003481289],"genre_scores_gemma":[0.9915467,0.0003617244,0.004542979,0.00003518985,0.000009401261,0.0000109654,0.00008884894,0.00004614392,0.003358019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104072,"threshold_uncertainty_score":0.002534628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658995358251331,"score_gpt":0.2422276603759047,"score_spread":0.2256377067933914,"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."}}