{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001838122,0.0001711865,0.0003386698,0.00004307334,0.00002389132,0.00001063341,0.0001160977,0.0001202785,0.00003621849],"category_scores_gemma":[0.0000729863,0.0001390695,0.00006338588,0.0001272602,0.00008830256,0.000005423886,0.00007360646,0.0001156229,0.000001856012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002431219,"about_ca_system_score_gemma":0.00005690628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006759261,"about_ca_topic_score_gemma":0.00001946673,"domain_scores_codex":[0.9989781,0.00001792939,0.0002596813,0.0003254203,0.0001688012,0.0002500272],"domain_scores_gemma":[0.9994664,0.00001519285,0.0001035012,0.000224605,0.00006399005,0.0001262729],"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":[0.0004392034,0.0002304888,0.001989602,0.00004395055,0.0001403628,0.0000251431,0.00003664791,0.00003296939,0.9949715,0.0000249305,0.002000545,0.00006473024],"study_design_scores_gemma":[0.001266105,0.000158017,0.0001222671,0.00002293208,0.00007611717,0.0000319883,0.0003186419,0.0002011521,0.9732722,0.0000153633,0.02433279,0.0001824093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912806,0.001590818,0.0001396737,0.00008941237,0.00003982003,0.00007162733,0.000112085,0.000007582969,0.006668441],"genre_scores_gemma":[0.9982283,0.0003640627,0.0002427444,0.00002504853,0.0001159312,0.000006571987,0.0001220594,0.00001411741,0.0008811638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233224,"threshold_uncertainty_score":0.5671089,"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."}}