{"id":"W4384571143","doi":"10.1039/d3cy00848g","title":"Unlocking the potential of catalysts in thermochemical energy conversion processes","year":2023,"lang":"en","type":"article","venue":"Catalysis Science & Technology","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Component (thermodynamics); Carbon fibers; Sustainable energy; Energy transformation; Nanotechnology; Energy (signal processing); Chemistry; Biochemical engineering; Materials science; Renewable energy; Thermodynamics; Physics; Engineering; Organic chemistry","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":[0.001561372,0.0006524377,0.0007876464,0.0007010554,0.001007113,0.003926535,0.001288465,0.002827079,0.006552642],"category_scores_gemma":[0.003141803,0.000547782,0.0003639674,0.0005192923,0.003135948,0.007285131,0.002434317,0.004839063,0.003517006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009225835,"about_ca_system_score_gemma":0.0009364149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007874952,"about_ca_topic_score_gemma":0.001708096,"domain_scores_codex":[0.9993237,0.0001007021,0.00002851648,0.00009400838,0.0003326735,0.0001204164],"domain_scores_gemma":[0.9989396,0.0006190808,0.000068125,0.000128131,0.0001456019,0.00009949272],"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":[0.0003437352,0.0001884467,0.001067353,0.003024847,0.00007902227,0.0002983599,0.0004694702,0.006130903,0.1294191,0.6916045,0.01632588,0.1510484],"study_design_scores_gemma":[0.0000759005,0.0004367618,0.0006939694,0.0006622619,0.00007567405,0.0004184263,0.0004807446,0.0159413,0.1251038,0.3940773,0.4619246,0.0001092105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1612013,0.5146663,0.09973367,0.05308181,0.008970693,0.0001116522,0.0007062981,0.001251116,0.1602771],"genre_scores_gemma":[0.7737317,0.1811225,0.02048629,0.003080621,0.002964744,0.0001249967,0.0003967084,0.000302025,0.01779035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006552642,"threshold_uncertainty_score":0.02192074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007612412118090321,"score_gpt":0.2329652907249024,"score_spread":0.2253528786068121,"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."}}