{"id":"W4403823663","doi":"10.1093/eurpub/ckae144.1954","title":"Concept of a medical and public health cancer genomics platform","year":2024,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Genomics; Cancer; Public health; Medicine; Computational biology; Biology; Genome; Genetics; Nursing; Internal medicine; Gene","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":[0.01290429,0.0001367952,0.0003234028,0.0002136649,0.00008368099,0.0001269944,0.0004900608,0.00007652461,0.000103809],"category_scores_gemma":[0.0007314554,0.0001026267,0.0001051108,0.0001894862,0.0003575266,0.00001925028,0.0002436782,0.0004178771,0.000005768575],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009690312,"about_ca_system_score_gemma":0.006007459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005640581,"about_ca_topic_score_gemma":0.0000402661,"domain_scores_codex":[0.9964668,0.0006738711,0.001107043,0.0001888211,0.000934707,0.0006287507],"domain_scores_gemma":[0.9976009,0.00004178482,0.0003669851,0.0001845637,0.0002570777,0.001548738],"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":[0.000007650976,0.00008561784,0.0001978013,0.000455668,0.0001342244,0.00003037041,0.001921314,0.000001087286,0.0005801423,0.000243919,0.02171281,0.9746294],"study_design_scores_gemma":[0.0009186806,0.002308731,0.002276705,0.0002355776,0.000004715107,0.000345318,0.001800204,0.00055718,0.0003539344,0.00002750545,0.9910219,0.0001495873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6191663,0.08658733,0.07786991,0.2122977,0.001817125,0.0004215432,0.0001937482,0.00002658263,0.001619754],"genre_scores_gemma":[0.9594922,0.03493119,0.001267587,0.003060879,0.001016218,9.508759e-7,0.00003833979,0.00003253788,0.0001601047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9744798,"threshold_uncertainty_score":0.9996275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08008847758242733,"score_gpt":0.3603347561044312,"score_spread":0.2802462785220039,"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."}}