{"id":"W2788268342","doi":"10.1200/jco.2017.75.2501","title":"Breast Cancer Diagnosis and Treatment After High-Deductible Insurance Enrollment","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Deductible; Hazard ratio; Stage (stratigraphy); Cancer; Internal medicine; Confidence interval","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":[0.001838456,0.0002633709,0.0003263539,0.0006115729,0.0005791776,0.0006450819,0.0007985804,0.0005804061,0.002074377],"category_scores_gemma":[0.005191809,0.0002860727,0.0008327874,0.0007422511,0.0004384404,0.0004980595,0.0005987678,0.0007282954,0.0001372276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009306361,"about_ca_system_score_gemma":0.001062295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009238623,"about_ca_topic_score_gemma":0.009051136,"domain_scores_codex":[0.9983845,0.0005222436,0.0001007696,0.000509049,0.0001904025,0.0002929734],"domain_scores_gemma":[0.9942273,0.001531113,0.003174647,0.0004095602,0.0001784115,0.0004790388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005743206,0.0005522167,0.9860401,0.00005617343,0.0001792185,0.0001065245,0.00006496141,0.000482135,0.0003478047,0.0001994498,0.0003312089,0.005896935],"study_design_scores_gemma":[0.000314623,0.0020076,0.9941059,0.00001867837,0.0001953245,0.0001498348,0.00007404919,0.001620293,0.0005614805,0.0002478768,0.000690398,0.00001380908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972242,0.0003208948,0.0002927124,0.00006895426,0.00002163698,0.0001165198,0.001364664,0.00001300476,0.0005773582],"genre_scores_gemma":[0.9983801,0.00005674736,0.0002391987,0.00005082277,0.00002731903,0.00009467745,0.0007806615,0.000001909725,0.0003685701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009238623,"threshold_uncertainty_score":0.01836973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027034401145461,"score_gpt":0.385358687987523,"score_spread":0.2826552478729769,"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."}}