{"id":"W4311325161","doi":"10.54097/hset.v21i.3185","title":"Synthesis of ethanol, methanol and carboxylic acids using copper-based catalysts","year":2022,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Methanol; Catalysis; Reuse; Chemistry; Carboxylic acid; Ethanol; Copper; Carbon dioxide; Greenhouse gas; Organic chemistry; Environmental science; Environmental chemistry; Waste management; Ecology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004123551,0.0001620579,0.0003194215,0.001780076,0.0001016199,0.0000132705,0.0003669364,0.0001027234,0.000008330289],"category_scores_gemma":[0.0004510043,0.0001714443,0.00002768681,0.003291735,0.0004003297,0.00009812511,0.0003362762,0.0002394602,0.000001023783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731847,"about_ca_system_score_gemma":0.00007464681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005711074,"about_ca_topic_score_gemma":0.000002242124,"domain_scores_codex":[0.9986083,0.00001275972,0.0003008316,0.0004264739,0.0003219752,0.0003296873],"domain_scores_gemma":[0.9992713,0.0001676284,0.00007227134,0.0003694285,0.00005247975,0.00006692255],"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":[0.000003548963,0.00002090769,0.001211081,0.0000465927,0.00001120398,0.000009926199,0.00009295093,0.06215578,0.9291631,0.00692251,0.000001960158,0.0003604288],"study_design_scores_gemma":[0.0001577166,0.00001480381,0.0001072762,0.00003130798,0.00001918785,0.0000270365,0.00007113072,0.2790649,0.7201234,0.00003282472,0.0001934896,0.0001569905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975882,0.0005141168,0.00103834,0.0002954617,0.0001410607,0.00009818381,0.00001565808,0.0002063765,0.0001026318],"genre_scores_gemma":[0.9969586,0.00002130276,0.002916223,0.000005647899,0.000008538304,0.00006130276,0.000001423846,0.00002033736,0.000006633858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2169091,"threshold_uncertainty_score":0.6991298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047599180992656,"score_gpt":0.233345534848942,"score_spread":0.2228695430390154,"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."}}