{"id":"W3151809513","doi":"10.1002/cjce.24129","title":"Effects of calcination atmosphere on the performance of the co‐precipitated <scp>Ni</scp> / <scp> ZrO <sub>2</sub> </scp> catalyst in dry reforming of methane","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calcination; Carbon dioxide reforming; Catalysis; Tetragonal crystal system; Monoclinic crystal system; Coprecipitation; Dispersion (optics); Methane; Atmosphere (unit); Metal; Chemistry; Oxygen; Materials science; Mineralogy; Chemical engineering; Inorganic chemistry; Phase (matter); Metallurgy; Syngas; Crystallography; Physics; Crystal structure; 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":[0.0002441048,0.0004117064,0.0003427599,0.0003157038,0.0001943341,0.000311813,0.0002738,0.0002909651,0.0006338696],"category_scores_gemma":[0.0006335416,0.0002346548,0.0002236286,0.0003197488,0.0002417428,0.0002491014,0.0001906855,0.0002712211,0.0001481803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058945,"about_ca_system_score_gemma":0.0001978681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703781,"about_ca_topic_score_gemma":0.003687119,"domain_scores_codex":[0.9997651,0.00003131239,0.00002889682,0.00004038267,0.00008542435,0.00004897295],"domain_scores_gemma":[0.9997658,0.00007713641,0.00005002288,0.00002375209,0.00005542903,0.00002783439],"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":[0.0003472747,0.00002099484,0.000828927,0.0001113391,0.00001831419,0.00006263248,0.00006781066,0.0002526244,0.9956939,0.00003021822,0.00002849967,0.002537385],"study_design_scores_gemma":[0.000007508994,0.0002310525,0.005037905,0.000004638222,0.00002290375,0.00003717901,0.00004082509,0.000808867,0.993427,0.000006519437,0.0003683658,0.000007265789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985172,0.0006073493,0.0002614961,0.00001647284,0.000009925523,0.000006024585,0.00007145654,0.00002710679,0.0004830556],"genre_scores_gemma":[0.9990226,0.0003208142,0.0002904127,0.000005651384,0.000002885768,0.00000423816,0.00005989514,0.000009849847,0.0002836967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001703781,"threshold_uncertainty_score":0.003387749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005477979921846267,"score_gpt":0.1946543866939865,"score_spread":0.1891764067721402,"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."}}