{"id":"W2990788265","doi":"10.1039/c9sc04663a","title":"Remarkably efficient removal of toxic bromate from drinking water with a porphyrin–viologen covalent organic framework","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Ministerio de Ciencia, Innovación y Universidades; New York University Abu Dhabi","keywords":"Bromate; Porphyrin; Cationic polymerization; Chemistry; Viologen; Covalent bond; Reaction rate constant; Photochemistry; Environmental chemistry; Inorganic chemistry; Organic chemistry; Bromide; Kinetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432127,0.0003786142,0.000207549,0.0001702355,0.0001376167,0.0002327716,0.0002966857,0.000337413,0.0006399512],"category_scores_gemma":[0.0001739915,0.0001688602,0.000246486,0.0001688169,0.0001511226,0.0001820674,0.0002867562,0.0003606144,0.0002170104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654884,"about_ca_system_score_gemma":0.0001894643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007948331,"about_ca_topic_score_gemma":0.001772927,"domain_scores_codex":[0.9999009,0.00000835193,0.000003868002,0.00002789608,0.00002914771,0.00002979315],"domain_scores_gemma":[0.9999492,0.00001095659,0.00001137295,0.00000876331,0.000009589458,0.00001018339],"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":[0.00002160445,0.000008179895,0.00005192771,0.00002375185,0.000003676091,0.00002377737,0.000007512582,0.00004493368,0.9979478,0.00003187254,0.00002169613,0.001813259],"study_design_scores_gemma":[0.000002990631,0.00005961354,0.0003699308,0.000001215861,0.000006588484,0.00003885566,0.000006365724,0.0003589021,0.9983115,0.00001221632,0.0008287515,0.00000307615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730691,0.001066275,0.02265982,0.0001262797,0.00004737242,0.00004875454,0.0001857364,0.0003384843,0.002458221],"genre_scores_gemma":[0.9877406,0.0003636486,0.008467337,0.00005176912,0.000006068361,0.00001352717,0.0001233326,0.00003274895,0.003201007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007948331,"threshold_uncertainty_score":0.00214082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006447968005320847,"score_gpt":0.2214978125458326,"score_spread":0.2150498445405118,"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."}}