{"id":"W2987098750","doi":"10.1002/anie.201909430","title":"In Vivo Solid‐Phase Microextraction for Sampling of Oxylipins in Brain of Awake, Moving Rats","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Eicosanoids and Hypertension Pharmacology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Centre for Addiction and Mental Health; Sunnybrook Health Science Centre; University of Waterloo; Concordia University","funders":"Ontario Brain Institute","keywords":"Solid-phase microextraction; In vivo; Chemistry; Chromatography; Sampling (signal processing); Phase (matter); Gas chromatography–mass spectrometry; Computer science; Biology; Organic chemistry; Biotechnology; Computer vision; Mass spectrometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002039994,0.0007199314,0.0003020355,0.00041342,0.0003019313,0.0002298851,0.0002158496,0.0003053533,0.001063585],"category_scores_gemma":[0.000115337,0.0001938614,0.0002767446,0.0002001501,0.0003560241,0.0002635213,0.0002179229,0.0007287608,0.0004191222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00019797,"about_ca_system_score_gemma":0.000463929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549662,"about_ca_topic_score_gemma":0.003739601,"domain_scores_codex":[0.9998991,0.000006451626,0.000004967765,0.00004096535,0.0000207694,0.00002767599],"domain_scores_gemma":[0.9998957,0.00001486643,0.00002572017,0.00001677792,0.00002331406,0.0000235724],"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":[0.0001239426,0.00001216157,0.00008045756,0.00001218904,0.000004089321,0.00001780236,0.00001465066,0.00002027217,0.9987273,0.00002550914,0.00001905066,0.000942615],"study_design_scores_gemma":[0.00001235621,0.000286857,0.002656345,0.000004217176,0.00002439706,0.00007864043,0.00003563818,0.0004675314,0.9955307,0.00008471047,0.0008096512,0.000008965124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248983,0.003513595,0.06476463,0.0003395966,0.0002476178,0.0002815046,0.003118819,0.0004436464,0.00239235],"genre_scores_gemma":[0.8935819,0.006384703,0.08676483,0.0003590209,0.0001096988,0.0007057255,0.002353162,0.000237278,0.009503722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001549662,"threshold_uncertainty_score":0.00355804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089415916878659,"score_gpt":0.3511141739714919,"score_spread":0.3302200148027053,"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."}}