{"id":"W4415602483","doi":"10.1101/2025.10.27.684911","title":"Somatic copy number mutations contribute to fitness in transplantation models of spontaneous human breast cancer metastasis","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cancer Research UK; BC Cancer Foundation; Canada Foundation for Innovation; Breast Cancer Research Foundation","keywords":"Metastasis; Somatic cell; Metastatic breast cancer; Context (archaeology); clone (Java method); Phenotype; Breast cancer; Somatic evolution in cancer; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004929359,0.0003714626,0.0004303915,0.0005538387,0.0002661739,0.0004388209,0.0003533052,0.0004461467,0.001350374],"category_scores_gemma":[0.0004797635,0.0001824499,0.0003509247,0.0002761545,0.0003034816,0.0002009329,0.0004964581,0.0008598124,0.0002367564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006931888,"about_ca_system_score_gemma":0.0002103696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037024,"about_ca_topic_score_gemma":0.001547658,"domain_scores_codex":[0.9995297,0.0001019324,0.00004358857,0.00008577792,0.0001779064,0.00006110305],"domain_scores_gemma":[0.9995199,0.0001955125,0.0001093278,0.00006341615,0.0000483539,0.00006341239],"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":[0.00006198133,0.00006898525,0.0009888497,0.00001988073,0.000008509256,0.00004372588,0.00002391698,0.0003236669,0.9971626,0.0001200376,0.00002201103,0.001155757],"study_design_scores_gemma":[0.00002070737,0.001454543,0.02558613,0.000007750053,0.00003912741,0.0005580465,0.00008012514,0.01721826,0.9534954,0.0002097437,0.001308884,0.00002126838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949237,0.0002947836,0.003871455,0.00003499311,0.000009019566,0.0000528294,0.0002211508,0.00006030879,0.0005319693],"genre_scores_gemma":[0.9956593,0.0001678171,0.002355159,0.00002502231,0.000003489705,0.00008446069,0.000366567,0.00004289527,0.001295234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001350374,"threshold_uncertainty_score":0.00502944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027048275762168,"score_gpt":0.2524440117064203,"score_spread":0.2421735289487986,"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."}}