{"id":"W2048439051","doi":"10.1038/nprot.2011.329","title":"In vivo solid-phase microextraction for monitoring intravenous concentrations of drugs and metabolites","year":2011,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Solid-phase microextraction; Chromatography; Sorbent; Extraction (chemistry); Analyte; Aptamer; In vivo; Sample preparation; Biomedical engineering; Solid phase extraction; Materials science; Mass spectrometry; Chemistry; Gas chromatography–mass spectrometry; Medicine; Adsorption","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":[0.0003621641,0.0004406686,0.0002680309,0.0001441632,0.000194516,0.0004704108,0.0003707194,0.000460692,0.0009534777],"category_scores_gemma":[0.0003670223,0.0003078701,0.0002091703,0.0001531386,0.0002509606,0.000378214,0.0001917404,0.001014321,0.0005184633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429366,"about_ca_system_score_gemma":0.0006588092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004950532,"about_ca_topic_score_gemma":0.00178906,"domain_scores_codex":[0.9997442,0.00006354311,0.00001073946,0.00005796369,0.00009351347,0.00003000663],"domain_scores_gemma":[0.9998437,0.0000529416,0.00004108095,0.00002496357,0.0000194742,0.00001774936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002713165,0.00003992792,0.0001192372,0.0000378048,0.000008394231,0.00001565766,0.00001037308,0.0001411246,0.9931671,0.0001273777,0.0001891928,0.005872384],"study_design_scores_gemma":[0.00001256588,0.0002612365,0.0002918014,0.000003000366,0.00001259996,0.00007837806,0.000004712569,0.001184555,0.9964907,0.00006518829,0.001591745,0.000003487277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5362657,0.007456375,0.4444152,0.001138353,0.0005653654,0.0006308078,0.002105147,0.001230205,0.006192892],"genre_scores_gemma":[0.8361002,0.004838161,0.1466007,0.0004468276,0.00009023867,0.0002954537,0.0009576951,0.0001825554,0.01048829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009534777,"threshold_uncertainty_score":0.003189683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771066680056388,"score_gpt":0.4028035887369553,"score_spread":0.3650929219363914,"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."}}