{"id":"W2037604947","doi":"10.1186/1756-0500-6-264","title":"Control and target gene selection for studies on UV-induced genotoxicity in whales","year":2013,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Skin Protection and Aging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Environment Research Council; Consejo Nacional de Ciencia y Tecnología; Queen Mary University of London","keywords":"Genotoxicity; Selection (genetic algorithm); Biology; Genetics; Gene; Computational biology; Medicine; Bioinformatics; Computer science; Internal medicine; Artificial intelligence; Toxicity","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":[0.0008992827,0.000700632,0.0004794202,0.0009149397,0.0002753279,0.0003700372,0.0003834047,0.0004841148,0.002994888],"category_scores_gemma":[0.000894816,0.0003691646,0.0005163362,0.0005672468,0.00047871,0.0002282436,0.0004134203,0.0004760598,0.001162618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938021,"about_ca_system_score_gemma":0.00029373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004473977,"about_ca_topic_score_gemma":0.001101175,"domain_scores_codex":[0.9993499,0.0001241042,0.00008104998,0.0002045374,0.0001556514,0.00008478363],"domain_scores_gemma":[0.9991968,0.0002780211,0.000209893,0.0001038387,0.0001625923,0.00004881217],"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":[0.0000487321,0.00001721951,0.0003386145,0.0000611879,0.000004015417,0.00002909305,0.00002831674,0.00001758272,0.9981973,0.00002360849,0.00001830604,0.00121601],"study_design_scores_gemma":[0.00001989358,0.0007498079,0.0130308,0.00002506717,0.00008194077,0.0003202099,0.0001024501,0.0003186738,0.9796503,0.00004861492,0.005640466,0.00001174427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155358,0.003085962,0.07245022,0.0001627732,0.0001529661,0.001577869,0.003577348,0.0008502118,0.002606661],"genre_scores_gemma":[0.8160703,0.00427484,0.1500099,0.0006517099,0.000132016,0.004579765,0.01353003,0.0009347341,0.009816705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002994888,"threshold_uncertainty_score":0.01001894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2687533397557609,"score_gpt":0.4559322479522552,"score_spread":0.1871789081964943,"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."}}