{"id":"W1847764292","doi":"10.1002/jssc.201200839","title":"Development and evaluation of a new <i>in vivo</i> solid‐phase microextraction sampler","year":2012,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Solid-phase microextraction; Chromatography; In vivo; Detection limit; Fish <Actinopterygii>; Reproducibility; Chemistry; Sampling (signal processing); Biomedical engineering; Computer science; Gas chromatography–mass spectrometry; Mass spectrometry; Biology; Biotechnology; Medicine; Fishery","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":[0.001254715,0.0004534378,0.0004080587,0.0002097079,0.0002413761,0.0004676493,0.0008006049,0.0007318817,0.0007547012],"category_scores_gemma":[0.001014397,0.0002704735,0.0003464493,0.0001071801,0.0003823415,0.000619474,0.000433769,0.0005829645,0.0005250418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004746932,"about_ca_system_score_gemma":0.0009178485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007340697,"about_ca_topic_score_gemma":0.00124662,"domain_scores_codex":[0.9991618,0.0001693942,0.00004555579,0.0002408424,0.0003446051,0.00003780466],"domain_scores_gemma":[0.9994749,0.0001112021,0.0001079228,0.00004634396,0.0002038193,0.00005569959],"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":[0.0001407611,0.00008112354,0.001096706,0.00009957358,0.00001694165,0.0000457826,0.00003650497,0.0002204149,0.985593,0.0001943705,0.0001758615,0.01229896],"study_design_scores_gemma":[0.00005100952,0.000819669,0.002389368,0.00001262622,0.00004588215,0.0004686207,0.00002896772,0.00498721,0.9834669,0.00007216939,0.00763054,0.00002709426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4920149,0.001560805,0.4975175,0.00108139,0.000315178,0.001687655,0.0011196,0.001407549,0.003295368],"genre_scores_gemma":[0.5076297,0.002400941,0.4749483,0.0009508692,0.0001238285,0.0009957248,0.001293152,0.0002180553,0.0114394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001254715,"threshold_uncertainty_score":0.006635666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196326823182782,"score_gpt":0.4521083314444596,"score_spread":0.3324756491261814,"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."}}