{"id":"W4379162441","doi":"10.1016/j.matt.2023.05.022","title":"Bringing down the heat in methanol synthesis","year":2023,"lang":"en","type":"article","venue":"Matter","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Syngas; Oxide; Methanol; Chemistry; Fossil fuel; Waste management; Chemical engineering; Catalysis; Materials science; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003770174,0.0004876426,0.0005844226,0.0005752353,0.001330874,0.001172769,0.0007336544,0.001398837,0.008279013],"category_scores_gemma":[0.001344313,0.0004071527,0.0003119067,0.0003920435,0.002021961,0.003281195,0.001353236,0.002685334,0.001812535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157886,"about_ca_system_score_gemma":0.000659631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073361,"about_ca_topic_score_gemma":0.00415265,"domain_scores_codex":[0.9996983,0.00005067683,0.000009241097,0.00003809553,0.0001270102,0.00007668819],"domain_scores_gemma":[0.9998424,0.00007996274,0.00001372757,0.00001854885,0.0000267594,0.0000185832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006639202,0.0002092899,0.0006353486,0.003510882,0.00006656418,0.0005341423,0.001177798,0.006108529,0.1808754,0.6403651,0.02288505,0.142968],"study_design_scores_gemma":[0.0001193289,0.0007845052,0.0009573068,0.0003678387,0.00009290972,0.0004503805,0.0009525567,0.01129658,0.4738736,0.2215288,0.2894726,0.000103542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4249591,0.220286,0.0839152,0.04813278,0.01536975,0.0002440565,0.0004150435,0.001410247,0.2052679],"genre_scores_gemma":[0.9107727,0.03965682,0.007050528,0.001761782,0.0016045,0.00007354364,0.0001007333,0.0002166579,0.03876276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008279013,"threshold_uncertainty_score":0.02769607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253558294719222,"score_gpt":0.2372864826076731,"score_spread":0.2247508996604808,"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."}}