{"id":"W4321598956","doi":"10.1186/s13040-023-00326-0","title":"Ten simple rules for providing bioinformatics support within a hospital","year":2023,"lang":"en","type":"article","venue":"BioData Mining","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Simple (philosophy); Computer science; Data science; Data mining; Bioinformatics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008073096,0.0001990217,0.0001908437,0.0001491925,0.000201036,0.0001278615,0.0005028555,0.0002045964,0.00001915671],"category_scores_gemma":[0.001097658,0.0001706573,0.000105939,0.0002045674,0.0001637339,0.00001953596,0.000499639,0.00008416125,0.000156045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001600757,"about_ca_system_score_gemma":0.0002404938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007629602,"about_ca_topic_score_gemma":0.00001128991,"domain_scores_codex":[0.9982327,0.00001675081,0.0004982576,0.0002969105,0.0003303783,0.0006249817],"domain_scores_gemma":[0.9989906,0.00005151645,0.0001489908,0.0004633374,0.0001283537,0.0002172144],"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":[0.0002509207,0.000210528,0.01050121,0.001318065,0.0003746056,0.00002014887,0.004193138,0.00002744308,0.08994853,0.000224804,0.7294794,0.1634512],"study_design_scores_gemma":[0.002893376,0.004059665,0.002863642,0.0001174787,0.00008092825,0.00002840915,0.01372451,0.0395967,0.1491915,0.0003131047,0.7857583,0.001372468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855239,0.000100009,0.008086264,0.0009474446,0.0007729179,0.001156717,0.001753765,0.000152713,0.001506205],"genre_scores_gemma":[0.8393696,0.0006625907,0.1238251,0.001036701,0.001563558,0.0003183042,0.02858669,0.0001304282,0.004507067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620787,"threshold_uncertainty_score":0.6959202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376802126752831,"score_gpt":0.3102693955737785,"score_spread":0.2725891828984954,"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."}}