{"id":"W4385267942","doi":"10.1016/j.jechem.2023.07.011","title":"Improvement strategies for Ni-based alcohol steam reforming catalysts","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Chemistry","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Steam reforming; Catalysis; Hydrogen production; Chemical engineering; Materials science; Methane; Sintering; Hydrogen; Coke; Nanotechnology; Chemistry; Metallurgy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725063,0.0004373373,0.0005268144,0.0004533236,0.0004372314,0.0008064882,0.0008723264,0.0004466499,0.001608117],"category_scores_gemma":[0.0005055064,0.0002814726,0.0002743495,0.0004462103,0.000255625,0.000823063,0.0004475767,0.0008781542,0.0006450511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006880357,"about_ca_system_score_gemma":0.0004712775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926354,"about_ca_topic_score_gemma":0.004876908,"domain_scores_codex":[0.9996556,0.00003399366,0.00002934598,0.00005539523,0.0001675823,0.00005809679],"domain_scores_gemma":[0.9998796,0.00001244035,0.00001283361,0.00001976099,0.00006530266,0.00001003781],"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":[0.0002617982,0.0001981785,0.0007321805,0.0003667407,0.00002775364,0.00009648965,0.0001596933,0.001542417,0.9436818,0.002831226,0.0005271657,0.04957455],"study_design_scores_gemma":[0.00001686274,0.0001454983,0.0005966993,0.00001364911,0.00003825094,0.0000587659,0.00008897698,0.007865978,0.9802107,0.0003135381,0.01064276,0.000008415125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913287,0.01095654,0.0695306,0.0008060338,0.0002800286,0.0003700159,0.0002752437,0.000878313,0.02557461],"genre_scores_gemma":[0.9706591,0.002487724,0.02127858,0.00005713588,0.00002404658,0.00005625785,0.0002143931,0.00005824445,0.005164461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001926354,"threshold_uncertainty_score":0.005379617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765228908025385,"score_gpt":0.2794686086292583,"score_spread":0.2618163195490044,"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."}}