{"id":"W7115164551","doi":"10.18280/isi.301011","title":"Learning Framework Designed for Early Prediction of Breast Cancer Metastasis Consuming Genomic, Transcriptomic, and Epigenomic Profiles","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Epigenomics; Metastasis; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007991844,0.0008955324,0.001144163,0.001338384,0.0004573257,0.0007688474,0.001401261,0.001128879,0.00224723],"category_scores_gemma":[0.0009316342,0.000243123,0.0009447068,0.0007469492,0.0002421213,0.0005288477,0.0006996308,0.0009562979,0.0007979725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751032,"about_ca_system_score_gemma":0.002095822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118671,"about_ca_topic_score_gemma":0.01501351,"domain_scores_codex":[0.999621,0.00004276473,0.00002180159,0.0001557642,0.00008490681,0.00007362171],"domain_scores_gemma":[0.9996949,0.00009592594,0.0000238964,0.00002422725,0.0001226754,0.00003835261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007670649,0.000972812,0.01744115,0.0002060328,0.0004047482,0.0004719957,0.00007611248,0.1438474,0.02593289,0.002875488,0.01376556,0.7932387],"study_design_scores_gemma":[0.00003394592,0.0001267629,0.001847128,0.0000116889,0.00006920358,0.00009742809,0.00001887779,0.9908034,0.004005823,0.001661634,0.001310067,0.00001408857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06233236,0.0009805447,0.9274901,0.0006280042,0.0001516783,0.0003022436,0.001760833,0.004604174,0.001750057],"genre_scores_gemma":[0.5622191,0.0007655869,0.4195795,0.0008713464,0.0002636994,0.0006070674,0.005889393,0.0001125894,0.009691599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118671,"threshold_uncertainty_score":0.02359605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510023406752941,"score_gpt":0.2437737547973426,"score_spread":0.2286735207298132,"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."}}