{"id":"W1974095349","doi":"10.1002/jssc.200700090","title":"Developments in ion chromatography using monolithic columns","year":2007,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Monolith; Monolithic HPLC column; Ion chromatography; Polyelectrolyte; Ionic bonding; Column chromatography; Coating; Covalent bond; Reagent; Materials science; Chromatography; Ion exchange; Chemistry; Ion; Nanotechnology; Polymer; High-performance liquid chromatography; Organic chemistry; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00368852,0.001272505,0.00116231,0.001814645,0.0005018911,0.001970429,0.001822207,0.001562637,0.003238695],"category_scores_gemma":[0.001857115,0.0008588937,0.001090831,0.001518046,0.0008977827,0.002652192,0.001232904,0.003563191,0.005412439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049131,"about_ca_system_score_gemma":0.0008059749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005642193,"about_ca_topic_score_gemma":0.0006127902,"domain_scores_codex":[0.9979449,0.0003338747,0.0001210113,0.0005294555,0.0009401141,0.000130743],"domain_scores_gemma":[0.9986343,0.0004936293,0.0000923582,0.0001020681,0.0005930988,0.00008451504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001576821,0.0003673898,0.0006832558,0.005302517,0.000174434,0.000432838,0.0002426147,0.00153149,0.3381778,0.01507016,0.007256157,0.6306036],"study_design_scores_gemma":[0.00004179831,0.0009978849,0.001380992,0.0008943681,0.0001710698,0.003881442,0.0001215283,0.003577621,0.3006052,0.005249039,0.6828951,0.0001839601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01554766,0.7011342,0.2480142,0.003173148,0.002687892,0.000389048,0.000343274,0.001539551,0.02717099],"genre_scores_gemma":[0.05208885,0.6271926,0.2910851,0.004740078,0.003351802,0.0002929767,0.0009965155,0.0004214951,0.01983052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00368852,"threshold_uncertainty_score":0.01950693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649003954921006,"score_gpt":0.343372744274717,"score_spread":0.3168827047255069,"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."}}