{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002290721,0.0008175723,0.0003717246,0.0003089006,0.0001523086,0.0002993169,0.0003225032,0.0005626788,0.0004377655],"category_scores_gemma":[0.0003778846,0.000378849,0.0003604448,0.0002486738,0.0002751262,0.0003928596,0.0002264288,0.000548496,0.0003920681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412905,"about_ca_system_score_gemma":0.0001995464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003404242,"about_ca_topic_score_gemma":0.0007132724,"domain_scores_codex":[0.9996696,0.0000782172,0.00002036561,0.00009016122,0.0001128095,0.00002879223],"domain_scores_gemma":[0.9997751,0.00007660322,0.00007592537,0.0000207229,0.00003348149,0.00001816836],"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":[0.00001908728,0.000005903554,0.00007188737,0.00001946829,0.000004235718,0.00001285284,0.000002484784,0.00004393892,0.9987116,0.000008502658,0.000006071855,0.00109389],"study_design_scores_gemma":[0.000001225808,0.00003935512,0.0005211771,0.000001274951,0.000007180208,0.00005437298,0.000001675851,0.0003883731,0.9987714,0.00000411921,0.0002076205,0.000002329983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.899102,0.003662965,0.09334563,0.0001393571,0.00003820104,0.0001166188,0.0004171464,0.0006665853,0.002511553],"genre_scores_gemma":[0.9071022,0.002661522,0.08644442,0.0001428458,0.00002990341,0.0001464214,0.0005462067,0.0000805809,0.002845919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008175723,"threshold_uncertainty_score":0.001750708,"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."}}