{"id":"W2098303558","doi":"10.1093/nar/gkm755","title":"CEBS Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data","year":2007,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; National Institutes of Health","keywords":"Biology; Proteomics; Computational biology; Toxicity; DNA microarray; Bioinformatics; Data science; Genetics; Gene expression; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02195867,0.002762172,0.003467369,0.01330558,0.001064386,0.006036508,0.00701308,0.002847885,0.06408276],"category_scores_gemma":[0.04870373,0.002091182,0.001876571,0.0147048,0.001018707,0.005668505,0.006901802,0.002208732,0.04312538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003269319,"about_ca_system_score_gemma":0.01018424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007787453,"about_ca_topic_score_gemma":0.006992714,"domain_scores_codex":[0.9893438,0.002172013,0.002927064,0.001403952,0.003694512,0.0004586713],"domain_scores_gemma":[0.9306832,0.02150313,0.008575636,0.01954793,0.01522771,0.004462341],"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":[0.003468883,0.0005227854,0.01276221,0.01599344,0.000952013,0.0005909923,0.000609206,0.006122609,0.02083542,0.01639738,0.8193555,0.1023895],"study_design_scores_gemma":[0.001014235,0.000366798,0.01127801,0.00129585,0.0004285286,0.0004366277,0.000198853,0.004346796,0.01614333,0.008183368,0.9560071,0.0003005564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001670126,0.001205102,0.03110021,0.0006956136,0.000139911,0.0008881423,0.9269637,0.03217957,0.0051576],"genre_scores_gemma":[0.009024156,0.001371035,0.03232488,0.000737159,0.00008240542,0.001752066,0.9472026,0.005070715,0.002435129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06408276,"threshold_uncertainty_score":0.2143782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397727400866712,"score_gpt":0.374835628942579,"score_spread":0.2350628888559078,"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."}}