{"id":"W4404883841","doi":"10.1177/11769351241297493","title":"Prediction of Distant Metastasis of Lymph-Node-Negative Primary Breast Cancer From Gene Expression Profiling Using Cox-Boost Regression Model","year":2024,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Breast cancer; Gene expression profiling; Proportional hazards model; Profiling (computer programming); Medicine; Oncology; Lymph node metastasis; Lymph node; Distant metastasis; Gene expression; Internal medicine; Metastasis; Bioinformatics; Computational biology; Gene; Cancer; Biology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002550394,0.0006280908,0.000740338,0.0008536193,0.000202113,0.0005714679,0.0007971594,0.0004878181,0.001439174],"category_scores_gemma":[0.003649614,0.0002337642,0.001405185,0.0006772869,0.0002961324,0.0002634407,0.0004413375,0.00132019,0.0004876282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005177805,"about_ca_system_score_gemma":0.001008406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005751373,"about_ca_topic_score_gemma":0.004496245,"domain_scores_codex":[0.9996038,0.0001316266,0.00002020729,0.0001219496,0.00005710036,0.00006530158],"domain_scores_gemma":[0.9981236,0.001378141,0.0001706667,0.00009247821,0.0001681889,0.00006689048],"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":[0.002245107,0.0004991542,0.2917779,0.0003756329,0.0008289597,0.0004513546,0.0001668844,0.5589455,0.01320473,0.00190181,0.004804169,0.1247987],"study_design_scores_gemma":[0.00002317703,0.00009120216,0.01390534,0.00001161255,0.00006828375,0.00005435562,0.00001871075,0.9832665,0.001156039,0.0009841727,0.0004057781,0.0000149281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076105,0.001944678,0.2835635,0.0009377373,0.00008464692,0.0001704717,0.003615044,0.001211135,0.0008623197],"genre_scores_gemma":[0.9740794,0.0003752544,0.02210446,0.00007566526,0.00003703402,0.0001176942,0.002162058,0.00004688746,0.001001494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005751373,"threshold_uncertainty_score":0.01348794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703527117647905,"score_gpt":0.2927876191342582,"score_spread":0.2557523479577791,"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."}}