{"id":"W7148809478","doi":"10.71465/ajcce265","title":"Production Chemical Engineering Approaches to Clean and Efficient Fuel","year":2021,"lang":"","type":"article","venue":"American Journal Of Chemistry And Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Renewable energy; Chemical industry; Clean energy; Chemical energy; Key (lock); Emerging technologies; Fuel cells; Synthetic fuel","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":[0.0009188277,0.000810964,0.0006664339,0.001098291,0.0009688617,0.002524034,0.001361793,0.001604389,0.004736295],"category_scores_gemma":[0.001157266,0.0007167643,0.0005719921,0.0009557687,0.00229893,0.002900016,0.001800206,0.003120627,0.002328119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017523,"about_ca_system_score_gemma":0.001661115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006907692,"about_ca_topic_score_gemma":0.0009303808,"domain_scores_codex":[0.9990649,0.0001226107,0.00004408982,0.0001600794,0.0005251726,0.00008317809],"domain_scores_gemma":[0.9996997,0.00009545988,0.00003754412,0.00006121166,0.0000891936,0.00001696557],"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":[0.00005206609,0.0002873437,0.0003614406,0.002182445,0.0000528285,0.0001967264,0.0002161546,0.0187354,0.1022976,0.7469485,0.00583561,0.122834],"study_design_scores_gemma":[0.00006367829,0.0003589326,0.0003906486,0.0003624508,0.00005158207,0.0003927192,0.0001823468,0.03306065,0.161825,0.3489898,0.4542584,0.00006372373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02916029,0.1264479,0.6425765,0.01187853,0.002278812,0.0004579357,0.0003753194,0.0007621111,0.1860625],"genre_scores_gemma":[0.4872552,0.1700115,0.2807123,0.003185578,0.001643708,0.001059203,0.0006307827,0.0004511488,0.05505065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004736295,"threshold_uncertainty_score":0.01584452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127004156317451,"score_gpt":0.1909099835629226,"score_spread":0.1796399419997481,"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."}}