{"id":"W2149849221","doi":"10.1093/toxsci/kfl131","title":"Chemical Genomic Profiling for Identifying Intracellular Targets of Toxicants Producing Parkinson's Disease","year":2006,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Paraquat; Toxicogenomics; Gene; Yeast; Biology; Saccharomyces cerevisiae; Mutant; Genetics; Toxicity; Computational biology; Biochemistry; Chemistry; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001105101,0.0003050283,0.0003310027,0.0008442207,0.0001750829,0.0002922645,0.0001656542,0.000173145,0.001333412],"category_scores_gemma":[0.0002081225,0.0001336493,0.0002585099,0.0006530173,0.0001146466,0.0001313829,0.0002092563,0.0002415403,0.0004457719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075741,"about_ca_system_score_gemma":0.0002100455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088223,"about_ca_topic_score_gemma":0.00247201,"domain_scores_codex":[0.9998933,0.00001199899,0.000007927821,0.00003167979,0.00003994687,0.00001510143],"domain_scores_gemma":[0.9998692,0.00003376501,0.00003199799,0.00001415802,0.00002876269,0.00002217214],"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":[0.00003849344,0.000008362403,0.001092416,0.00002837216,0.000005947128,0.00002278687,0.000006562129,0.00006109555,0.9967952,0.00002347238,0.00002281446,0.001894344],"study_design_scores_gemma":[0.00001758931,0.0006030705,0.1023569,0.00002438566,0.0001441188,0.001081317,0.0001885479,0.001832647,0.8849545,0.0002227169,0.008554515,0.00001974709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727164,0.001821014,0.01541312,0.0001124589,0.000013422,0.00008094659,0.008137443,0.0001898605,0.001515272],"genre_scores_gemma":[0.9405222,0.002811236,0.03038511,0.0001424173,0.00001423205,0.0001160076,0.02329973,0.00009078926,0.002618309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001333412,"threshold_uncertainty_score":0.004460692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120028372045517,"score_gpt":0.312595611912776,"score_spread":0.2713953281923208,"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."}}