{"id":"W2137495773","doi":"10.3747/co.v15i6.242","title":"Residual Cancer Burden in Locally Advanced Breast Cancer: A Superior Tool","year":2008,"lang":"en","type":"article","venue":"Current Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Breast cancer; Residual; Oncology; Medical physics; Bioinformatics; Internal medicine; Computer science; Biology; Algorithm","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":[0.002428033,0.0007242709,0.000825809,0.004000755,0.0002494524,0.001264042,0.0005502549,0.0004373903,0.002033894],"category_scores_gemma":[0.00679062,0.0002023539,0.0004825824,0.001716674,0.00058368,0.001340311,0.001437817,0.0005762342,0.0006054291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689312,"about_ca_system_score_gemma":0.0003529547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008291095,"about_ca_topic_score_gemma":0.001326848,"domain_scores_codex":[0.9987888,0.0004798906,0.000159158,0.0001522476,0.0003514757,0.00006838053],"domain_scores_gemma":[0.9950827,0.001441632,0.001972468,0.0003130558,0.0007537861,0.000436369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005660953,0.00004681235,0.9424621,0.0001677464,0.0001343998,0.0001707928,0.000143174,0.0009293957,0.001788058,0.0002778383,0.0006604113,0.05265326],"study_design_scores_gemma":[0.00006715078,0.001325533,0.9733498,0.00022249,0.0002956828,0.004088883,0.0004777501,0.01119546,0.001969408,0.00110346,0.005830323,0.00007407326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760104,0.009468832,0.007281175,0.0008953157,0.00008792595,0.00007710736,0.001179678,0.0001679595,0.004831693],"genre_scores_gemma":[0.9938017,0.0007668886,0.00428229,0.00005657873,0.0001323523,0.00002372533,0.0004527751,0.00001762952,0.0004662287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004000755,"threshold_uncertainty_score":0.01284087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652742260062954,"score_gpt":0.3566107393482874,"score_spread":0.3200833167476579,"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."}}