{"id":"W4397011101","doi":"10.20944/preprints202405.0996.v1","title":"Identifying Robust Biomarker Panels for Breast Cancer Screening","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Biomarker; Breast cancer; Cancer; Oncology; Medicine; Internal medicine; Biology; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004329765,0.0003689923,0.0002797471,0.0001391255,0.000122535,0.00007305695,0.0005573856,0.0005341318,0.0005100355],"category_scores_gemma":[0.00005458332,0.0003725881,0.0003585526,0.0001169729,0.000068505,0.000004333275,0.002163793,0.0004016267,0.0001436166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006639041,"about_ca_system_score_gemma":0.0002592534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008224882,"about_ca_topic_score_gemma":0.0000150425,"domain_scores_codex":[0.997498,0.00007386637,0.0004268425,0.001407773,0.0002287669,0.000364724],"domain_scores_gemma":[0.9982995,0.0000116124,0.000249173,0.001077864,0.000221726,0.0001401634],"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":[0.0001741418,0.00004732784,0.02520547,0.0005794772,0.0003664797,0.000002068597,0.0001268125,0.001068974,0.9573836,0.00005175701,0.002375006,0.01261882],"study_design_scores_gemma":[0.0006545119,0.00001546797,0.3443739,0.000977051,0.000263976,0.00002280251,0.0002304013,0.001331853,0.5989363,0.001290731,0.05096876,0.0009342487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566783,0.003754562,0.02899026,0.002249171,0.00333041,0.001431112,0.0008594067,0.0001427901,0.002564019],"genre_scores_gemma":[0.9882113,0.0007981794,0.000785854,0.0001901059,0.0008656395,0.001168437,0.0003139787,0.00009868308,0.007567771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584474,"threshold_uncertainty_score":0.9998726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2175030746545123,"score_gpt":0.396964903092244,"score_spread":0.1794618284377317,"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."}}