{"id":"W2411894186","doi":"10.1007/978-1-61779-231-1_17","title":"In Vivo Nuclear Magnetic Resonance Metabolite Profiling in Plant Seeds","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Steacie Institute for Molecular Sciences; National Research Council Canada","funders":"","keywords":"Metabolite profiling; Metabolite; In vivo; Nuclear magnetic resonance; Profiling (computer programming); Chemistry; Computational biology; Biology; Physics; Biochemistry; Computer science; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001345837,0.0002743076,0.0001926267,0.0002312975,0.0001854341,0.0002619872,0.0001633147,0.0002406837,0.0006520334],"category_scores_gemma":[0.0000944745,0.0001583255,0.0001194259,0.000161294,0.0001446963,0.0001589205,0.000126402,0.0003266917,0.0002371215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208452,"about_ca_system_score_gemma":0.0001257447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088879,"about_ca_topic_score_gemma":0.002391441,"domain_scores_codex":[0.999957,0.00001014338,0.000002502202,0.000014758,0.000008623763,0.000007026009],"domain_scores_gemma":[0.9999205,0.00002432384,0.00002026428,0.00000974822,0.00001291485,0.00001225679],"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":[0.00001145389,0.000002373258,0.00003615735,0.000007004911,7.159387e-7,0.000006553081,0.000005481004,0.00001489222,0.9996209,0.00001261126,0.000005128462,0.0002767981],"study_design_scores_gemma":[0.000007558008,0.0001974772,0.005417285,0.000003576233,0.00001670667,0.0001640084,0.00003636798,0.0007523978,0.9917697,0.00006018502,0.001568839,0.000005960266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9557499,0.001605363,0.03823153,0.0001275684,0.00002382502,0.00009430991,0.0009739456,0.0002629439,0.002930646],"genre_scores_gemma":[0.9255852,0.003640143,0.05935145,0.0001554614,0.0000191352,0.0001351552,0.001620302,0.0001368845,0.009356345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001088879,"threshold_uncertainty_score":0.002181292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05081941007551236,"score_gpt":0.3493707275727828,"score_spread":0.2985513174972704,"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."}}