{"id":"W7161794432","doi":"10.82308/50479","title":"Metabolite fingerprinting tools to detect differences between transgenic and conventional crops","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolite; Genetically modified crops; Univariate; Transgene; Statistical analysis; Metabolomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004218656,0.0002488707,0.0003594812,0.00004841467,0.000214535,0.0002698216,0.0003462551,0.0003013089,0.001722239],"category_scores_gemma":[0.0001358021,0.00009895505,0.0001268384,0.0003163757,0.0000401667,0.00005562741,0.00005622885,0.0003013384,0.00008742879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481826,"about_ca_system_score_gemma":0.00002041337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000280786,"about_ca_topic_score_gemma":0.002139234,"domain_scores_codex":[0.9980245,0.00007361631,0.0003629959,0.0005367103,0.0005367989,0.0004653336],"domain_scores_gemma":[0.998979,0.0004892425,0.00006443793,0.00005507195,0.0001433838,0.0002688383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003958257,0.00001410986,0.007662646,0.00003661407,0.00005361747,0.000001620497,0.0001051786,1.780569e-7,0.3550979,0.0002660942,0.00002538195,0.6366971],"study_design_scores_gemma":[0.00006475965,0.000128321,0.9374538,0.00002683611,0.0000336341,7.191442e-7,0.0002633564,0.000001406424,0.05965738,0.0005455104,0.001568911,0.000255353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957349,0.0002754209,0.0001195214,0.0002164964,0.0000951223,0.0004039578,0.00006912942,0.00005315445,0.003032289],"genre_scores_gemma":[0.9923681,0.00007108478,0.001262891,0.00005784203,0.0002770858,0.0000238285,0.0004352771,0.000002684887,0.005501225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9297912,"threshold_uncertainty_score":0.9991903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06077023985313976,"score_gpt":0.3105166562507338,"score_spread":0.2497464163975941,"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."}}