{"id":"W2096982880","doi":"10.1093/jncimonographs/lgr023","title":"Tissue and Soluble Biomarkers in Breast Cancer and Their Applications: Ready to Use?","year":2011,"lang":"en","type":"article","venue":"JNCI Monographs","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Medicine; Breast cancer; Cancer; Intensive care medicine; Bioinformatics; Oncology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001011728,0.000112035,0.0001893987,0.0002037923,0.00003651959,0.00001676113,0.00003640721,0.00004716849,0.00006231466],"category_scores_gemma":[0.000003044008,0.00008874787,0.00002346973,0.0003552202,0.00006529412,0.00007769487,0.00003557143,0.00006197677,0.000004037741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126296,"about_ca_system_score_gemma":0.00002865326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006174902,"about_ca_topic_score_gemma":0.0008773422,"domain_scores_codex":[0.9993602,0.00001012087,0.0001436476,0.0002467265,0.00005815016,0.0001811446],"domain_scores_gemma":[0.9995278,0.00001804795,0.00003231019,0.0002039347,0.00003835321,0.0001795285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004162908,0.0001713872,0.4486526,0.000123582,0.0001795088,0.000008780911,0.002468143,1.649306e-7,0.01332171,0.0002385338,0.005538456,0.5288808],"study_design_scores_gemma":[0.001439809,0.0001467648,0.7997111,0.0001350398,0.0001080725,0.00008230771,0.0009708056,0.00001381456,0.007071661,0.0002629764,0.1897935,0.0002641773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989626,0.00523449,0.0004299628,0.00123761,0.0001131361,0.001202934,0.000163444,0.00005450815,0.001937872],"genre_scores_gemma":[0.9929986,0.003049417,0.002559703,0.0006904856,0.00004201985,0.0003924521,0.00001255032,0.00002121873,0.0002335764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5286167,"threshold_uncertainty_score":0.9334645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059533034397534,"score_gpt":0.2847080133109487,"score_spread":0.2441126829669734,"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."}}