{"id":"W1970827340","doi":"10.1002/rcm.1295","title":"Solid‐phase microextraction combined with surface‐enhanced laser desorption/ionization introduction for ion mobility spectrometry and mass spectrometry using polypyrrole coatings","year":2003,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada); University of Waterloo","funders":"","keywords":"Chemistry; Mass spectrometry; Solid-phase microextraction; Analytical Chemistry (journal); Ion-mobility spectrometry; Analyte; Ambient ionization; Polypyrrole; Sample preparation; Chromatography; Ionization; Chemical ionization; Ion; Polymer; Gas chromatography–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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001116162,0.0006835125,0.0008319936,0.001145756,0.0008882751,0.0002752876,0.0008555335,0.0004403609,0.001619089],"category_scores_gemma":[0.0004108757,0.0007526442,0.0001962268,0.004110595,0.0004351158,0.0006763513,0.0001402814,0.001121251,0.00001003264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480679,"about_ca_system_score_gemma":0.0001762724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006388981,"about_ca_topic_score_gemma":0.00004900333,"domain_scores_codex":[0.9958141,0.0002694041,0.001223647,0.001252997,0.0005120835,0.0009277502],"domain_scores_gemma":[0.9950832,0.0005654145,0.0008585627,0.002863878,0.0003946694,0.0002342526],"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":[0.0003092119,0.00143027,0.003500112,0.0001685127,0.0001000769,0.000001033236,0.00008306692,0.0003160506,0.9783375,0.0153939,0.00008020802,0.0002800443],"study_design_scores_gemma":[0.004336598,0.0007097569,0.0008390124,0.0001143755,0.0002062248,0.00008471228,0.00111582,0.01335388,0.960182,0.01658421,0.001454833,0.001018539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683159,0.0007893663,0.3254759,0.0009080854,0.00009916002,0.001177421,0.0001122435,0.0004367323,0.002685176],"genre_scores_gemma":[0.6858576,0.001015523,0.3119476,0.0000319235,0.0001530081,0.000264651,0.0004107785,0.0001041368,0.0002147366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01815548,"threshold_uncertainty_score":0.9994925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901979028001113,"score_gpt":0.3152856586066224,"score_spread":0.2962658683266113,"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."}}