{"id":"W2418497022","doi":"10.1021/acs.analchem.5b03684","title":"Capturing Plant Metabolome with Direct-Immersion in Vivo Solid Phase Microextraction of Plant Tissues","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Leco","keywords":"Solid-phase microextraction; Chemistry; Chromatography; Metabolome; Repeatability; Metabolomics; Sample preparation; Mass spectrometry; Analyte; Malus; In vivo; Gas chromatography–mass spectrometry; Botany; Biotechnology","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":[0.0002265648,0.0008127696,0.0003332286,0.0002289014,0.0001844323,0.0003748176,0.0002693525,0.0004281593,0.0004848463],"category_scores_gemma":[0.0001671576,0.0002478051,0.0002983539,0.0001826992,0.0002992552,0.000352431,0.0003943524,0.0005432905,0.0003045619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320804,"about_ca_system_score_gemma":0.0002357772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005921902,"about_ca_topic_score_gemma":0.002399783,"domain_scores_codex":[0.9998271,0.00002008077,0.000007565476,0.00008457572,0.00004354718,0.00001728224],"domain_scores_gemma":[0.9998908,0.00003083044,0.00002619948,0.00002043161,0.00002045696,0.0000111998],"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":[0.000008086216,0.000003216695,0.00007568597,0.0000114587,0.00000179524,0.000004540072,0.000004727762,0.00001405401,0.9993277,0.000007293028,0.000003262857,0.0005382458],"study_design_scores_gemma":[0.000002854136,0.0001186781,0.003574147,0.000001858111,0.00001059798,0.00009984249,0.00001431536,0.0007505664,0.9945403,0.00003168698,0.0008487223,0.00000659532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8361682,0.002166801,0.1578853,0.0001920235,0.00005476083,0.0002427228,0.001263605,0.0004164461,0.00161024],"genre_scores_gemma":[0.8017771,0.002368585,0.1888485,0.0002316328,0.00003076336,0.0003091324,0.001675774,0.0001208643,0.004637604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008127696,"threshold_uncertainty_score":0.001683891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805974449913383,"score_gpt":0.2900551645806059,"score_spread":0.2719954200814721,"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."}}