{"id":"W7095558034","doi":"","title":"Features Associated with Survival Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Editor&amp;apos;s Summary","year":2014,"lang":"en","type":"article","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stromal cell; Breast cancer; Cancer; Lymph node; Stroma; Set (abstract data type); Scoring system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009878074,0.0002973642,0.0003623978,0.002501245,0.0002762919,0.0008025974,0.0003432471,0.0002994524,0.01205722],"category_scores_gemma":[0.01270682,0.0001306426,0.0004090171,0.001449857,0.0002767304,0.0003322395,0.0003637875,0.0004094109,0.001470733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285245,"about_ca_system_score_gemma":0.0005672038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117601,"about_ca_topic_score_gemma":0.005578483,"domain_scores_codex":[0.9993482,0.0001012546,0.000124514,0.0001265629,0.0002568385,0.00004262998],"domain_scores_gemma":[0.9881502,0.005273889,0.002438898,0.0006000745,0.002761633,0.0007753346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000591449,0.00003870769,0.7598153,0.0003525732,0.0003446224,0.0003961432,0.0000927236,0.0004436079,0.003014288,0.0002123497,0.077021,0.1576772],"study_design_scores_gemma":[0.00004994373,0.0001796702,0.9609773,0.0001596603,0.0004268244,0.001395952,0.0002160554,0.00427293,0.005278252,0.0006817556,0.02630999,0.00005178439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341271,0.007997287,0.008789726,0.009365822,0.002284859,0.0001033643,0.02405399,0.001376349,0.01190144],"genre_scores_gemma":[0.9810778,0.001042883,0.005253785,0.0005795454,0.0008587359,0.00004075886,0.00452023,0.0002304731,0.006395627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01205722,"threshold_uncertainty_score":0.04033542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626190531665516,"score_gpt":0.3109212302517489,"score_spread":0.2946593249350937,"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."}}