{"id":"W4414824426","doi":"10.1177/15578666251380233","title":"BCtypeFinder: A Semi-Supervised Model with Domain Adaptation for Breast Cancer Subtyping Using DNA Methylation Profiles","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"National Institutes of Health","keywords":"Subtyping; DNA methylation; Breast cancer; Epigenetics; Robustness (evolution); Domain adaptation; Adaptation (eye)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035615,0.001046048,0.00104004,0.0009932611,0.0004696641,0.0006391293,0.00236691,0.00135235,0.001655864],"category_scores_gemma":[0.004424024,0.0005370324,0.001448825,0.000740963,0.00039064,0.001010016,0.0009964971,0.002135463,0.001027485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009315494,"about_ca_system_score_gemma":0.001705797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202544,"about_ca_topic_score_gemma":0.01868906,"domain_scores_codex":[0.9993399,0.0002051879,0.00003770247,0.0002490412,0.0001119936,0.00005623715],"domain_scores_gemma":[0.9984842,0.0008278422,0.0001141898,0.0001972501,0.0002963058,0.0000802785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007830079,0.0005608715,0.01263396,0.0002412892,0.0003798486,0.0002570032,0.0001648902,0.5202711,0.00583643,0.002436657,0.02899641,0.4274385],"study_design_scores_gemma":[0.00001913257,0.00002802862,0.0004291558,0.000007898351,0.00001086165,0.00002549549,0.000008009905,0.9959202,0.0006943988,0.001947495,0.0008989359,0.000010409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06408535,0.001079902,0.9159,0.0008647983,0.0001852103,0.0003671465,0.004105445,0.01158512,0.001826986],"genre_scores_gemma":[0.5335264,0.0005636732,0.4429675,0.001223126,0.0002105217,0.0009272835,0.01382708,0.0007295622,0.006024947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01202544,"threshold_uncertainty_score":0.02391088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938780498434136,"score_gpt":0.2941857131580821,"score_spread":0.2747979081737407,"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."}}