{"id":"W3025264384","doi":"10.11575/prism/37848","title":"Process Simulation of Methanol Production from Water Electrolysis and Tri-Reforming","year":2020,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolysis; Process engineering; Environmental science; Process (computing); Production (economics); Methanol; Hydrogen production; Process simulation; Electrolysis of water; Waste management; Engineering; Computer science; Chemistry; Economics; Catalysis; Operating system; Microeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031409,0.0002133105,0.0005485106,0.0002573866,0.00005989989,0.00000291666,0.0001853077,0.0002953449,0.00005493689],"category_scores_gemma":[0.00009815689,0.0002139135,0.0001638284,0.000199707,0.00003149181,0.0003035032,0.00004490804,0.0003195979,0.000004369498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008664455,"about_ca_system_score_gemma":0.00003830855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006855272,"about_ca_topic_score_gemma":0.00002252742,"domain_scores_codex":[0.9988291,0.00002006496,0.0002596275,0.000373634,0.0003322499,0.0001853628],"domain_scores_gemma":[0.9992619,0.00004128003,0.0002982535,0.0001912759,0.0001333574,0.0000739944],"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":[0.0003561249,0.00003168447,0.00003980762,0.0009413467,0.000340906,0.000005345401,0.01004849,0.0002060663,0.9041697,0.00001032163,0.000001444364,0.08384869],"study_design_scores_gemma":[0.0004224582,0.00003553718,0.0001402143,0.0001501822,0.0005446956,8.020327e-7,0.0004687332,0.09987406,0.8977323,0.0001609087,0.0002342509,0.0002359101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838986,0.0002633701,0.01470773,0.00004252413,0.00009733511,0.0002609535,0.000001571418,0.00007000072,0.0006578531],"genre_scores_gemma":[0.9958107,0.00006231818,0.001232397,0.000001771144,0.00003933749,9.76013e-7,0.001166564,0.00004048348,0.001645402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09966799,"threshold_uncertainty_score":0.8723141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007594544756780891,"score_gpt":0.2119308664414593,"score_spread":0.2043363216846784,"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."}}