{"id":"W2691909187","doi":"10.1080/00032719.2016.1269120","title":"Determination of Chlorogenic Acid and Rutinum in<i>Herba Artemisiae Scopariae</i>with Multitemplate Molecularly Imprinted Polymers for Solid-phase Extraction with High-performance Liquid Chromatography","year":2017,"lang":"en","type":"article","venue":"Analytical Letters","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Molecularly imprinted polymer; Chemistry; Divinylbenzene; Solid phase extraction; Chromatography; Chlorogenic acid; Polymer; Solvent; Extraction (chemistry); Elution; High-performance liquid chromatography; Adsorption; Molecular imprinting; Selectivity; Organic chemistry; Copolymer; Styrene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002615322,0.0003079787,0.000461296,0.0001090008,0.0001624094,0.00008552875,0.000280279,0.0001537131,0.00007082132],"category_scores_gemma":[0.000128712,0.0002611984,0.00008937913,0.0001358633,0.0004383764,0.0002998534,0.00006377801,0.0002606232,0.000002091372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008965851,"about_ca_system_score_gemma":0.00005829466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004435445,"about_ca_topic_score_gemma":0.00001167077,"domain_scores_codex":[0.9981936,0.00001769284,0.0004907825,0.000534646,0.0003252936,0.0004380264],"domain_scores_gemma":[0.9986616,0.0001275321,0.0003817907,0.0005478019,0.0000976943,0.000183518],"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":[0.001652599,0.0001526828,0.004333729,0.0004019007,0.000201436,0.00005699764,0.00005152163,0.00001004604,0.990593,0.00002979508,0.000003240811,0.002513037],"study_design_scores_gemma":[0.00346774,0.0002326588,0.003059545,0.0003280865,0.0002120177,0.00005029496,0.0000352413,0.01663546,0.9755451,0.00001038314,0.00004804019,0.0003754416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012544,0.00002286021,0.09769619,0.0004947468,0.00001383301,0.0001612823,0.0000132719,0.00003076826,0.000312706],"genre_scores_gemma":[0.9717866,0.00001293224,0.0278745,0.0001191855,0.00003837476,0.00005159837,0.00002874459,0.0000378245,0.00005027265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07053223,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467104067527553,"score_gpt":0.3111310832276588,"score_spread":0.2964600425523833,"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."}}