{"id":"W2007470688","doi":"10.1002/em.20289","title":"Consensus recommendations to promote and advance predictive systems toxicology and toxicogenomics","year":2007,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Toxicogenomics; Data science; Biology; Computer science; Engineering ethics; Toxicology; Engineering; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306223,0.0001280243,0.0001003948,0.00004448226,0.0001037047,0.00001787728,0.00004404094,0.00009494724,0.000005523778],"category_scores_gemma":[0.00001225013,0.0001315012,0.00001774112,0.00002948192,0.00009825503,0.000002932379,0.0001276728,0.00003845493,0.000002766781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177164,"about_ca_system_score_gemma":0.000008932418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003112387,"about_ca_topic_score_gemma":0.000003487525,"domain_scores_codex":[0.9992009,0.00003783339,0.0001498492,0.0003837199,0.00006256454,0.0001651493],"domain_scores_gemma":[0.9996109,0.000008407636,0.00005089261,0.0001537354,0.000005791074,0.0001702612],"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":[0.00007051665,0.00003211286,0.001255215,0.000008078313,0.00002450512,0.000005869852,0.00008550482,0.00002209341,0.9830996,0.00004597634,0.0001212789,0.01522926],"study_design_scores_gemma":[0.000681141,0.0005548362,0.02927264,0.00001533975,0.00004282266,0.0001743381,0.001012019,0.00009977719,0.8501418,0.00003479428,0.117652,0.0003185297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867438,0.003199211,0.009049972,0.000344944,0.00009632149,0.0003364153,0.00004784232,0.000007456453,0.0001740568],"genre_scores_gemma":[0.9963723,0.0009058709,0.001805802,0.0004607115,0.00004287879,0.00003861076,0.00005658058,0.00001713499,0.0003000646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329578,"threshold_uncertainty_score":0.5362464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005862126160956207,"score_gpt":0.231976084398131,"score_spread":0.2261139582371748,"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."}}