{"id":"W7133381124","doi":"","title":"From subcellular to whole organism exploration of drug adverse effects by metabonomics","year":2013,"lang":"en","type":"other","venue":"ORBi UMONS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Drug; Adverse effect; Organism; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001573737,0.0005631729,0.0008537821,0.0004206461,0.0000410246,0.00004195021,0.0005089088,0.0003665402,0.003486851],"category_scores_gemma":[0.00008908219,0.0005912732,0.0001668759,0.0003596577,0.00008107875,0.0002756051,0.0001654008,0.0002559518,0.08168357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595708,"about_ca_system_score_gemma":0.00009710428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006456416,"about_ca_topic_score_gemma":0.0006336733,"domain_scores_codex":[0.997954,0.0002021291,0.0003952451,0.0006839498,0.0003725054,0.000392196],"domain_scores_gemma":[0.9978588,0.00009343576,0.000538579,0.001175535,0.00006142261,0.0002722604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009024586,0.000100042,0.00002482231,0.00004015007,0.000179741,0.000005962271,0.0006592009,0.00001055661,0.2427249,0.0001222089,0.7560117,0.0001117787],"study_design_scores_gemma":[0.0006542946,0.00003640624,0.00003162509,0.0001928375,0.0003756642,3.061063e-7,0.0002208281,0.00003377584,0.1026838,0.000172034,0.8949996,0.0005989311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1990142,0.01081505,0.0151291,0.001709177,0.008578257,0.01752683,0.03962056,0.004759463,0.7028474],"genre_scores_gemma":[0.01204942,0.0001335938,0.005711344,0.0001115402,0.0007298765,0.000296033,0.004225066,0.003866912,0.9728762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2700288,"threshold_uncertainty_score":0.9996539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009088537586750916,"score_gpt":0.215934973774291,"score_spread":0.2068464361875401,"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."}}