{"id":"W2033894890","doi":"10.1023/a:1010635328299","title":"Are medical oncologists biased in their treatment of the large woman with breast cancer?","year":2001,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Medicine; Oncology; Cancer; Gynecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03078925,0.0002322637,0.0008291988,0.002093289,0.002307592,0.002727316,0.001312651,0.003677595,0.008391544],"category_scores_gemma":[0.2811897,0.000447143,0.0004139843,0.001813251,0.003113858,0.002616685,0.001357099,0.003107931,0.002038807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247675,"about_ca_system_score_gemma":0.003973257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222892,"about_ca_topic_score_gemma":0.04162047,"domain_scores_codex":[0.9736524,0.01619815,0.001736301,0.001195419,0.005317811,0.00190007],"domain_scores_gemma":[0.7766603,0.1113337,0.05810296,0.008411657,0.02956509,0.01592627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001035436,0.0002562377,0.7370803,0.0005818894,0.0006962704,0.0008810458,0.009917714,0.0001798339,0.0007002892,0.007820846,0.1010552,0.139795],"study_design_scores_gemma":[0.000429398,0.000441698,0.7985045,0.003788037,0.001124014,0.005549682,0.04388219,0.000985735,0.001488043,0.0207146,0.1228909,0.000201174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2740398,0.02426059,0.001668255,0.6508508,0.003633879,0.0001154398,0.0006413487,0.00004003539,0.04474983],"genre_scores_gemma":[0.7752728,0.006912372,0.001952924,0.2061059,0.007094916,0.0001054263,0.0001715228,0.00006549166,0.002318589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03078925,"threshold_uncertainty_score":0.1628311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08736655512268195,"score_gpt":0.4045667950867029,"score_spread":0.317200239964021,"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."}}