{"id":"W4388739991","doi":"10.1039/d3tc03120a","title":"Methyl red based metal–organic frameworks for the selective and tuneable sensing of ammonia gas","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Department of Industry, Energy and Technology; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Memorial University of Newfoundland; Mitacs; Canada Foundation for Innovation","keywords":"Terephthalic acid; Ammonia; Methyl orange; Linker; Methyl red; Orange (colour); Metal-organic framework; Materials science; Inorganic chemistry; Chemistry; Organic chemistry; Adsorption; Computer science","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":[0.0001124196,0.0002265454,0.0001590609,0.0002311956,0.0001688777,0.0002217278,0.0004726859,0.0003185133,0.0008190926],"category_scores_gemma":[0.0001553508,0.0001157161,0.0001721825,0.0001408561,0.0001486616,0.0002558225,0.0002557074,0.0003251511,0.0001950886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239926,"about_ca_system_score_gemma":0.00009842961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170528,"about_ca_topic_score_gemma":0.002909994,"domain_scores_codex":[0.9999181,0.000008716678,0.000002745965,0.00001363061,0.00002932582,0.00002742093],"domain_scores_gemma":[0.9999582,0.000009588072,0.000009671976,0.000004114703,0.000008262676,0.00001027756],"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":[0.00009481853,0.00002779963,0.000242367,0.0001351854,0.00001739374,0.0001165948,0.00002331137,0.0004761389,0.9883415,0.0006625454,0.0002085539,0.009653728],"study_design_scores_gemma":[0.00001006252,0.0001451386,0.001421342,0.00001116037,0.00001660034,0.0002721043,0.00002439424,0.002596444,0.9886191,0.00006919261,0.0068005,0.00001399557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688459,0.01016924,0.01471983,0.0001947894,0.00008140686,0.00005311364,0.0002994969,0.0003864657,0.005249725],"genre_scores_gemma":[0.9903817,0.001441406,0.00611691,0.00004798736,0.000009893822,0.00001456567,0.0001043978,0.00001393891,0.0018692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001170528,"threshold_uncertainty_score":0.002740145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161604880918052,"score_gpt":0.2513300230164369,"score_spread":0.2351695349246317,"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."}}