{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288415,0.0001326255,0.0002387873,0.00003463069,0.0000373386,0.00001467541,0.0001127498,0.0002880908,0.0001854353],"category_scores_gemma":[0.0002634609,0.0001283053,0.00004607187,0.00009140604,0.00005810722,0.0001078793,0.00002595596,0.0003480762,4.359824e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006084967,"about_ca_system_score_gemma":0.00007306716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008498833,"about_ca_topic_score_gemma":8.792721e-7,"domain_scores_codex":[0.9990891,0.00001459402,0.0003398608,0.000231126,0.0001234776,0.0002018611],"domain_scores_gemma":[0.9993654,0.0001435489,0.0001426773,0.000153446,0.0001229281,0.00007194286],"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":[0.000211896,0.0002704271,0.001584424,0.000481489,0.00003548872,0.000002672091,0.00073973,2.251043e-7,0.9938017,0.0007897191,0.00002696369,0.002055227],"study_design_scores_gemma":[0.00124975,0.00002400226,0.0001147717,0.0001349186,0.00002283818,0.000004638459,0.0001810429,0.00004794945,0.9906801,0.002127693,0.005287926,0.0001243788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790146,0.002262103,0.0904808,0.0006647618,0.0005898558,0.1835473,0.0007156972,0.0004397526,0.04228508],"genre_scores_gemma":[0.7534559,0.0000122091,0.1940671,0.00003345114,0.0002316858,0.0515948,0.00000764085,0.00003010931,0.0005670667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319525,"threshold_uncertainty_score":0.5232136,"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."}}