{"id":"W4292259885","doi":"10.1080/09553002.2022.2110325","title":"Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease","year":2022,"lang":"en","type":"review","venue":"International Journal of Radiation Biology","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Canadian Nuclear Laboratories","funders":"Health Canada","keywords":"Adverse Outcome Pathway; Omics; Context (archaeology); Disease; Bioinformatics; Ionizing radiation; Proteomics; Medicine; Computational biology; Biology; Pathology; Physics","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":[0.002719546,0.0007390066,0.00090095,0.003142825,0.0006591976,0.001686657,0.0005188729,0.001033067,0.002347759],"category_scores_gemma":[0.003901299,0.0001959441,0.001966823,0.003742752,0.0007693959,0.0009803366,0.001193609,0.001457248,0.0003413046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254555,"about_ca_system_score_gemma":0.001751177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231984,"about_ca_topic_score_gemma":0.003291149,"domain_scores_codex":[0.9989346,0.0004304034,0.00009529226,0.000228911,0.0002428472,0.00006805218],"domain_scores_gemma":[0.996908,0.001811562,0.000522427,0.000186421,0.0004566983,0.0001148542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00104732,0.0002026166,0.105202,0.04423684,0.005096597,0.006226029,0.002786809,0.01034793,0.04239962,0.06323844,0.03869703,0.6805188],"study_design_scores_gemma":[0.00008502366,0.0006525488,0.2120815,0.01553185,0.005752407,0.008924908,0.002619719,0.008933283,0.02247742,0.1087712,0.6138287,0.000341456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08243121,0.7986944,0.06745431,0.01802057,0.001675752,0.0003091036,0.01080925,0.0005490963,0.02005634],"genre_scores_gemma":[0.3080456,0.6092613,0.06424396,0.006996481,0.001085038,0.0003169237,0.007110463,0.0001153526,0.002824991],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003142825,"threshold_uncertainty_score":0.01438254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618654977192522,"score_gpt":0.3448979369569444,"score_spread":0.2887113871850192,"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."}}