{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1321533,0.002985594,0.003736391,0.009388425,0.005074863,0.008913258,0.01640967,0.0297018,0.0322146],"category_scores_gemma":[0.1810866,0.002178896,0.006923512,0.007552286,0.004606928,0.00962693,0.01063609,0.02992734,0.01874192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01069978,"about_ca_system_score_gemma":0.06898698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875139,"about_ca_topic_score_gemma":0.02004125,"domain_scores_codex":[0.9361425,0.0247959,0.01093558,0.003074246,0.02055534,0.004496396],"domain_scores_gemma":[0.6473909,0.0856305,0.01180314,0.0109439,0.2085578,0.03567373],"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":[0.0001390857,0.0004672419,0.0009682798,0.005863962,0.0001663553,0.0006901968,0.001273202,0.001331353,0.0008314107,0.0137846,0.8153148,0.1591695],"study_design_scores_gemma":[0.0003056539,0.0001395159,0.001902752,0.01638736,0.0003208398,0.0003647555,0.002830388,0.001271066,0.0006590132,0.04925179,0.9263464,0.0002203387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001076367,0.01541178,0.03595964,0.8748425,0.0437608,0.004088704,0.001948664,0.001146604,0.02176499],"genre_scores_gemma":[0.01654979,0.0426311,0.4377062,0.4197035,0.01393987,0.01718758,0.0093714,0.0006103307,0.04230028],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1321533,"threshold_uncertainty_score":0.6989017,"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."}}