{"id":"W4224089232","doi":"10.1007/s11306-022-01881-z","title":"Evaluation of fresh, frozen, and lyophilized fecal samples by SPME and derivatization methods using GC×GC-TOFMS","year":2022,"lang":"en","type":"article","venue":"Metabolomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Outotec (Canada); University of Alberta","funders":"Genome Alberta; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; Genome Canada","keywords":"Derivatization; Chromatography; Metabolome; Chemistry; Sample preparation; Mass spectrometry; Gas chromatography–mass spectrometry; Gas chromatography; Metabolomics; Solid-phase microextraction; Metabolite; Feces; Lysis; Biochemistry; Microbiology; Biology","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":[0.0003970524,0.001028044,0.0003577564,0.0009572565,0.0005290761,0.0003859258,0.0002844512,0.0003490645,0.001249678],"category_scores_gemma":[0.0005722228,0.0001723468,0.0003167031,0.0007483613,0.0006272251,0.0003786655,0.0002562318,0.0004864568,0.0004104528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068855,"about_ca_system_score_gemma":0.0005839173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028429,"about_ca_topic_score_gemma":0.005769736,"domain_scores_codex":[0.9996809,0.00003260354,0.00002445668,0.0001087715,0.0001086329,0.00004466664],"domain_scores_gemma":[0.9997173,0.00004921472,0.0000390427,0.00002153337,0.0001477275,0.00002512477],"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":[0.0001681653,0.00003127531,0.001266294,0.0000700669,0.00002125153,0.00007220886,0.00005734466,0.00003417625,0.9938014,0.00003409042,0.00004133935,0.004402441],"study_design_scores_gemma":[0.00001331817,0.0004935099,0.03498865,0.00002491746,0.00009377045,0.0003264746,0.0002040885,0.0008512815,0.9600937,0.0001331991,0.002756253,0.00002095934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623259,0.002839845,0.02785988,0.0001550968,0.0002437066,0.000261154,0.002780191,0.0002723108,0.003262023],"genre_scores_gemma":[0.9086416,0.00425567,0.07266556,0.0003954056,0.0001003615,0.0004625129,0.004393233,0.0002652424,0.008820225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0028429,"threshold_uncertainty_score":0.005652726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713025040300667,"score_gpt":0.335787913449329,"score_spread":0.2886576630463223,"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."}}