{"id":"W2034896200","doi":"10.1039/b101854j","title":"Biological sample analysis with immunoaffinity solid-phase microextraction","year":2001,"lang":"en","type":"article","venue":"The Analyst","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Solid-phase microextraction; Chromatography; Chemistry; Sample (material); Sample preparation; Gas chromatography–mass spectrometry; Mass spectrometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000434682,0.0002303153,0.0004181365,0.00007428164,0.0002530017,0.00006421709,0.00042017,0.0001251954,0.005341196],"category_scores_gemma":[0.0002152947,0.0001335704,0.0002722672,0.00117131,0.0001957609,0.00005901571,0.00008486051,0.0003343428,0.00006245889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280966,"about_ca_system_score_gemma":0.00004806324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835848,"about_ca_topic_score_gemma":0.00007791611,"domain_scores_codex":[0.9985276,0.00007314236,0.0003759854,0.0003883757,0.0002715359,0.0003633388],"domain_scores_gemma":[0.9983249,0.000548818,0.0001877519,0.0007059099,0.0001092717,0.0001233082],"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":[0.001386782,0.001282488,0.09053808,0.00005489177,0.01123538,0.0001815017,0.0003268542,0.0008259956,0.8828917,0.0002735241,0.0003545725,0.01064819],"study_design_scores_gemma":[0.005155985,0.0002629982,0.02779211,0.00008962796,0.01487654,0.0003908175,0.003825742,0.01955349,0.7990877,0.002721624,0.1236153,0.002628091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575328,0.0001178028,0.2321362,0.0003950354,0.00001172187,0.00004141594,0.00002809158,0.0001105326,0.009626421],"genre_scores_gemma":[0.9890392,0.0001340294,0.008721286,0.000119838,0.0001105689,0.00001513129,0.0001920916,0.00001407279,0.001653733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315064,"threshold_uncertainty_score":0.995568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05312623016759425,"score_gpt":0.365719717263155,"score_spread":0.3125934870955607,"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."}}