{"id":"W1886584334","doi":"10.1093/clinchem/48.12.2259","title":"Determination of Gabapentin in Plasma by Liquid Chromatography with Fluorescence Detection after Solid-Phase Extraction with a C18 Column","year":2002,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph's Hospital","funders":"","keywords":"Chromatography; Solid phase extraction; Extraction (chemistry); Fluorescence; Plasma; Gabapentin; Column (typography); Chemistry; High-performance liquid chromatography; Phase (matter); Fluorescence spectroscopy; Medicine; Organic chemistry","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":[0.0008033323,0.001467333,0.001045034,0.001236438,0.0007475481,0.0006668053,0.0006810783,0.001071792,0.002495664],"category_scores_gemma":[0.001005886,0.0004845377,0.0006302356,0.0008700067,0.0006863062,0.0005248582,0.0005812343,0.001233957,0.00350804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005147409,"about_ca_system_score_gemma":0.001179047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386708,"about_ca_topic_score_gemma":0.001628823,"domain_scores_codex":[0.9983346,0.0002765374,0.0001274311,0.0003876965,0.0007185801,0.0001552074],"domain_scores_gemma":[0.999711,0.00007114741,0.00006560065,0.00002391584,0.00009671914,0.00003157262],"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":[0.0005842077,0.000256322,0.001574402,0.000400695,0.00006296718,0.0002711272,0.00006894466,0.0002670531,0.9501462,0.0003905392,0.0009296715,0.04504775],"study_design_scores_gemma":[0.0001872453,0.0015985,0.01282066,0.000218794,0.000175903,0.003500598,0.0000708234,0.008043357,0.944982,0.0007546143,0.02753092,0.000116694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3648387,0.04775174,0.5529951,0.001625785,0.0009659671,0.003174091,0.005268341,0.007291722,0.01608854],"genre_scores_gemma":[0.4029791,0.02411084,0.545064,0.003224024,0.0007185059,0.004574394,0.004389199,0.0005194802,0.01442053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002495664,"threshold_uncertainty_score":0.008348882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290391906671334,"score_gpt":0.3658381881218026,"score_spread":0.3429342690550893,"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."}}