{"id":"W3163892881","doi":"10.3390/metabo11050303","title":"A Comprehensive Targeted Metabolomics Assay for Crop Plant Sample Analysis","year":2021,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Foundation for Innovation; Genome Canada","keywords":"Metabolomics; Chromatography; Metabolite; Chemistry; Selected reaction monitoring; Metabolome; Sample preparation; Crop; Tandem mass spectrometry; Mass spectrometry; Biology; Biochemistry; Agronomy","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":[0.001156491,0.002128044,0.001063506,0.002015817,0.000605453,0.0006067415,0.000864182,0.001336055,0.001805767],"category_scores_gemma":[0.0009355944,0.0007320073,0.0008753818,0.001108771,0.0004593698,0.0006367702,0.001215798,0.001322445,0.002731316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286563,"about_ca_system_score_gemma":0.0008231626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005032322,"about_ca_topic_score_gemma":0.001947417,"domain_scores_codex":[0.9974731,0.0003631975,0.0001282883,0.0008385741,0.001058065,0.0001388315],"domain_scores_gemma":[0.999355,0.000125315,0.00009751329,0.0001174905,0.0002204572,0.00008410228],"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":[0.0000330298,0.00003502287,0.0002530956,0.00006432244,0.00002381184,0.00002446824,0.0000131096,0.00008672378,0.9932773,0.00006739332,0.0001925064,0.005929245],"study_design_scores_gemma":[0.00002030632,0.0004046914,0.004283279,0.00002102372,0.00009798507,0.000487137,0.0000214412,0.003575085,0.9828064,0.0001841581,0.008051144,0.00004731367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09804413,0.004942085,0.8802671,0.000243944,0.0002439249,0.001485939,0.005111684,0.005468145,0.004193084],"genre_scores_gemma":[0.1795818,0.004420071,0.7937736,0.0005852394,0.000108862,0.003270371,0.009469651,0.0003813082,0.008409243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002128044,"threshold_uncertainty_score":0.006116211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852561404809744,"score_gpt":0.2655221466677677,"score_spread":0.2469965326196703,"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."}}