{"id":"W2195545773","doi":"10.1016/j.dib.2015.10.042","title":"“Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”","year":2015,"lang":"en","type":"article","venue":"Data in Brief","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Stiftelsen för Kunskaps- och Kompetensutveckling; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Honey bee; Proteome; Genome; Biology; Drosophila melanogaster; Proteomics; Caenorhabditis elegans; Computational biology; Homo sapiens; Tandem mass spectrometry; Honey Bees; Genetics; Mass spectrometry; Gene; Botany; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008722833,0.00005998708,0.000115955,0.00002508861,0.00005637317,0.0001292909,0.0002466801,0.00003281215,0.00003395403],"category_scores_gemma":[0.0008539989,0.00002657326,0.000007237158,0.0001772688,0.00004423269,0.0005719217,0.0001172273,0.00005568437,0.000005428902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137438,"about_ca_system_score_gemma":0.00001271477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206739,"about_ca_topic_score_gemma":0.001887146,"domain_scores_codex":[0.9992241,0.00004854894,0.0001730791,0.0002395747,0.0001263607,0.0001883597],"domain_scores_gemma":[0.9994019,0.0003634115,0.00003565962,0.0001018852,0.00004614661,0.00005105897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00573798,0.0009275496,0.5283874,0.0002067204,0.00003847743,0.00005078068,0.002181296,0.0009354202,0.2789187,0.004511408,0.02109357,0.1570107],"study_design_scores_gemma":[0.001646551,0.000144009,0.9350471,0.00002175629,0.000003067609,0.000002335472,0.0004016651,0.006734232,0.0003796163,0.0004961006,0.05498021,0.0001433573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867352,0.0002188343,0.000008601131,0.0003774232,0.00003291813,0.0004582354,0.01209724,0.00000778314,0.00006379604],"genre_scores_gemma":[0.9456338,0.0001076999,0.0001236566,0.00004106594,0.0001501622,0.0001624873,0.05374913,6.571701e-7,0.00003132251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4066597,"threshold_uncertainty_score":0.1824237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.528264331168443,"score_gpt":0.3980839085473402,"score_spread":0.1301804226211027,"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."}}