{"id":"W3141491389","doi":"10.1139/cjc-2020-0378","title":"Carbon-supported copper–organic framework as active catalysts for acetylene hydrochlorination","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acetylene; Chemistry; Vinyl chloride; Catalysis; Adsorption; Copper; Inorganic chemistry; Activated carbon; Carbon fibers; X-ray photoelectron spectroscopy; Transition metal; Copper chloride; Selectivity; Chloride; Chemical engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195326,0.00037618,0.0002199809,0.0005059548,0.0002242775,0.0003873932,0.000626843,0.0004413253,0.0006115973],"category_scores_gemma":[0.000181573,0.0001787087,0.000246507,0.000291678,0.0001658813,0.0002504531,0.0002402213,0.0002587903,0.0002478122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533347,"about_ca_system_score_gemma":0.0001773711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786409,"about_ca_topic_score_gemma":0.004127928,"domain_scores_codex":[0.9998212,0.00001601131,0.000008987703,0.00002617473,0.00006639639,0.00006132832],"domain_scores_gemma":[0.9999517,0.000006576841,0.000009724558,0.000004345364,0.00001238622,0.0000151572],"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":[0.0001068688,0.00004206674,0.0002517562,0.0002541582,0.00002837505,0.0002743588,0.00003127029,0.0006017763,0.9886522,0.0005254088,0.0001986968,0.009033082],"study_design_scores_gemma":[0.00001742209,0.00015734,0.001246394,0.00001165386,0.0000316008,0.0001991916,0.00002599813,0.003148792,0.9893923,0.00007346524,0.00567775,0.00001813097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805802,0.008148645,0.00545261,0.00008869436,0.00009457327,0.00005185885,0.0002078987,0.0001892532,0.005186252],"genre_scores_gemma":[0.9956429,0.0009407068,0.002383109,0.0000140512,0.0000112913,0.000007219279,0.000105397,0.00001047614,0.0008849778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001786409,"threshold_uncertainty_score":0.00355202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122343658149736,"score_gpt":0.2349090811481669,"score_spread":0.2236856445666695,"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."}}