{"id":"W3016910668","doi":"10.1038/s41598-020-63817-8","title":"Application of in vivo solid phase microextraction (SPME) in capturing metabolome of apple (Malus ×domestica Borkh.) fruit","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":41,"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; University of Waterloo","keywords":"Metabolome; Solid-phase microextraction; Metabolomics; Hexanal; Metabolite; Malus; Chemistry; Nonanal; Phenylpropanoid; In vivo; Metabolic pathway; Biology; Chromatography; Biochemistry; Gas chromatography–mass spectrometry; Botany; Mass spectrometry; Metabolism; Enzyme; 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":[0.000490829,0.0001220985,0.0003618907,0.00008958951,0.00002979852,0.00002724229,0.0001371405,0.00009545601,0.0005299858],"category_scores_gemma":[0.0002883693,0.0001218296,0.0000928127,0.0005017536,0.0001306581,0.00009844596,0.00006112261,0.0001467248,0.000003844746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005112286,"about_ca_system_score_gemma":0.00006193637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773824,"about_ca_topic_score_gemma":0.00001915351,"domain_scores_codex":[0.9980072,0.00001212019,0.0008796094,0.0005628983,0.0003236445,0.0002144914],"domain_scores_gemma":[0.9988825,0.00005720037,0.0004800037,0.0004230789,0.00006229769,0.00009495592],"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":[0.00002709895,0.0002754674,0.003384421,0.0001767717,0.000007739511,0.00003294807,0.0003433036,0.000122271,0.9919341,0.00001247351,0.0002228563,0.00346054],"study_design_scores_gemma":[0.0002995197,0.000005458478,0.0001577439,0.00005322209,0.00001695074,0.00001452172,0.0001555028,0.001180314,0.9879174,0.0004210668,0.009667679,0.0001106408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976581,0.0002784816,0.0003903564,0.00008968745,0.0001543165,0.0001370673,0.00001968217,0.00002276095,0.001249603],"genre_scores_gemma":[0.9994055,0.000005074085,0.0003073633,0.00001004942,0.00004695749,0.00002831564,0.0000395697,0.00001251625,0.0001446631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009444823,"threshold_uncertainty_score":0.5802973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143617876203814,"score_gpt":0.2811016819514862,"score_spread":0.2667398943311048,"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."}}