{"id":"W1997680903","doi":"10.1038/nchembio.380","title":"A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans","year":2010,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Caenorhabditis elegans; Bioaccumulation; Drug; Computational biology; Drug discovery; Biology; Model organism; Chemistry; Ecology; Bioinformatics; Pharmacology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000168129,0.0001810025,0.0001915927,0.00005503656,0.00004508983,0.00001248185,0.0001608928,0.0009482994,0.000003947286],"category_scores_gemma":[0.0002635051,0.0001720675,0.00006067782,0.00005930562,0.0002132018,0.000005254077,0.00009834186,0.0005289532,7.419365e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339726,"about_ca_system_score_gemma":0.00005218905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002761162,"about_ca_topic_score_gemma":0.0003414494,"domain_scores_codex":[0.9989438,0.00002644693,0.0001709247,0.000517753,0.00005142029,0.0002896645],"domain_scores_gemma":[0.9994806,0.00004733324,0.00006319361,0.000237587,0.00008513219,0.00008614691],"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":[0.0001027813,0.00006199853,0.007218266,0.00001444802,0.00001801736,3.19884e-7,0.0001483088,0.00004900155,0.9905457,0.0003516425,0.0003798286,0.001109622],"study_design_scores_gemma":[0.001101153,0.0001252083,0.002826399,0.000004987154,0.00002450042,0.00001393478,0.0000227172,0.03176151,0.954633,0.00556476,0.003595982,0.0003258769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986383,0.0003536535,0.01184346,0.0006085637,0.0002339749,0.0003107659,0.0001661414,0.00001748283,0.00008294613],"genre_scores_gemma":[0.9933563,0.00006533479,0.005357793,0.000388843,0.0003064614,0.000043182,0.0004011167,0.00002115355,0.00005977816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03591279,"threshold_uncertainty_score":0.7314153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005484639938218681,"score_gpt":0.2603570193798038,"score_spread":0.2548723794415851,"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."}}