{"id":"W2965558959","doi":"10.1016/j.dib.2019.104351","title":"Hepatic proteome network data in zebrafish (Danio rerio) liver following dieldrin exposure","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Ontario Tech University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; New Brunswick Innovation Foundation","keywords":"Zebrafish; Proteomics; Proteome; Danio; Dieldrin; Orbitrap; Biology; Quantitative proteomics; Chemistry; Pharmacology; Pesticide; Biochemistry; Mass spectrometry; Chromatography","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":[0.0001333236,0.0002432683,0.0001584879,0.0007426926,0.0002925232,0.0002354658,0.0001093307,0.0002055699,0.00229324],"category_scores_gemma":[0.0001113576,0.0001524546,0.0002769365,0.0005329887,0.0001609141,0.0001881559,0.0002912887,0.0002968719,0.000443731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938237,"about_ca_system_score_gemma":0.0002764334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005032646,"about_ca_topic_score_gemma":0.01133002,"domain_scores_codex":[0.9999303,0.000004005851,0.000004085027,0.0000243622,0.00002525101,0.00001209053],"domain_scores_gemma":[0.9999292,0.000005329901,0.00002350241,0.000006705473,0.00002047607,0.00001474175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003069468,0.00001683238,0.005092413,0.0001006279,0.00005103008,0.0001311238,0.00003256808,0.00009174506,0.9895857,0.0001021274,0.0006960715,0.003792801],"study_design_scores_gemma":[0.00002689399,0.0002299396,0.4988031,0.00002642129,0.0001713797,0.001038881,0.000219533,0.001737697,0.487599,0.0002705654,0.009851309,0.00002531497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9630526,0.001956756,0.00405167,0.0003901419,0.00008319745,0.00004120541,0.02584268,0.0002424274,0.004339249],"genre_scores_gemma":[0.9488265,0.002761113,0.007475188,0.0003299074,0.00002317791,0.0001290921,0.02771718,0.00006894115,0.0126689],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005032646,"threshold_uncertainty_score":0.01000673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198495953959386,"score_gpt":0.2614113062402585,"score_spread":0.2394263467006646,"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."}}