{"id":"W2047649118","doi":"10.1021/ac0490806","title":"Solid-Phase Microextraction Field Sampler","year":2004,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Solid-phase microextraction; Sorbent; Fiber; Chemistry; Sampling (signal processing); Seal (emblem); Chromatography; Sample preparation; Sample (material); Process engineering; Adsorption; Gas chromatography–mass spectrometry; Computer science; Mass spectrometry; Telecommunications","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":[0.00009281488,0.00009970054,0.00009271823,0.00000893289,0.00006286315,0.00004321516,0.0001134376,0.0001556857,0.000356801],"category_scores_gemma":[0.0004332638,0.0001040382,0.00008834192,0.00006175815,0.00004251892,0.000004167173,0.00004245045,0.0001049507,0.00004457453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002186066,"about_ca_system_score_gemma":0.00005925323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002742364,"about_ca_topic_score_gemma":0.000008403457,"domain_scores_codex":[0.9992512,0.000008587731,0.0001970243,0.0002946407,0.00007804302,0.0001704794],"domain_scores_gemma":[0.9994594,0.00001408287,0.00004488079,0.0003044108,0.00007156303,0.0001056337],"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":[0.0000368667,0.0001402217,0.0002360923,0.00001598953,0.0000189027,0.000002343074,0.000006773979,0.000008265657,0.9977605,0.00004942009,0.001165704,0.0005589225],"study_design_scores_gemma":[0.000631356,0.0000537293,0.0003881703,0.000008249269,0.00001932643,0.00002127949,0.00002983039,0.00005743703,0.9836311,0.0002634105,0.01475447,0.0001416597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899243,0.00002564595,0.005780675,0.0007512379,0.00006685568,0.00004622165,0.000008040917,0.00002530338,0.003371686],"genre_scores_gemma":[0.9969458,0.00001063265,0.0004958914,0.0004181066,0.0003387296,0.000004425883,0.0001764009,0.00001041128,0.00159962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412941,"threshold_uncertainty_score":0.4242553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212178888106496,"score_gpt":0.3698804807352298,"score_spread":0.3486625919245802,"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."}}