{"id":"W2001076378","doi":"10.1186/1471-2164-12-s3-s2","title":"DetoxiProt: an integrated database for detoxification proteins","year":2011,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Metal-Catalyzed Oxygenation Mechanisms","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université Laval","funders":"National Key Research and Development Program of China; Fudan University; Queen's University; Harvard University; National Natural Science Foundation of China; Université Laval; Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences; Directorate for Biological Sciences; Jinan University; China Postdoctoral Science Foundation; Chinese Academy of Sciences","keywords":"Detoxification (alternative medicine); Biology; Database; Function (biology); Computational biology; Genetics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947377,0.003375435,0.003345459,0.009324814,0.001059371,0.003153467,0.003323255,0.002105531,0.01586579],"category_scores_gemma":[0.003533562,0.001413595,0.001622097,0.01003366,0.0004572194,0.004047799,0.003742155,0.001616552,0.02195835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188908,"about_ca_system_score_gemma":0.002282412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076083,"about_ca_topic_score_gemma":0.0007899954,"domain_scores_codex":[0.9986662,0.0001844682,0.000367892,0.0003314094,0.0003228681,0.0001272508],"domain_scores_gemma":[0.9983004,0.000391816,0.0003987618,0.0002584474,0.0003428845,0.0003077692],"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":[0.007098939,0.0007604776,0.00925126,0.03299923,0.001080763,0.003309162,0.001202549,0.004702671,0.1522173,0.01273173,0.4194923,0.3551536],"study_design_scores_gemma":[0.0008476382,0.0005269711,0.01340222,0.001365261,0.0005239918,0.002843567,0.0003607516,0.007514745,0.03052768,0.009371197,0.9323663,0.0003495835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0221389,0.011604,0.1174144,0.0008035753,0.0002980747,0.001180822,0.6926315,0.144029,0.009899654],"genre_scores_gemma":[0.01070388,0.0039423,0.08158968,0.0002993486,0.00006986514,0.0007325069,0.8961185,0.004360617,0.002183401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01586579,"threshold_uncertainty_score":0.05307639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09354329412040766,"score_gpt":0.271890498294912,"score_spread":0.1783472041745043,"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."}}