{"id":"W2802195249","doi":"10.1007/s10549-018-4821-z","title":"Impact of high-deductible insurance on adjuvant hormonal therapy use in breast cancer","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Breast cancer; Deductible; Medicine; Oncology; Hormonal therapy; Adjuvant; Internal medicine; Hormone; Cancer; Gynecology; Actuarial science; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003061419,0.000277992,0.0006355441,0.0004830569,0.000147405,0.0000947383,0.0001870217,0.000112806,0.001173226],"category_scores_gemma":[0.00001233723,0.0002313423,0.0001252485,0.0004415091,0.0004477955,0.0004692557,0.00004775979,0.000193451,0.00008762827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132419,"about_ca_system_score_gemma":0.000354599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.170834,"about_ca_topic_score_gemma":0.004560916,"domain_scores_codex":[0.9980425,0.00003249935,0.0004805491,0.0006163273,0.0001024711,0.000725708],"domain_scores_gemma":[0.9989081,0.00007410908,0.000202657,0.0003824958,0.00018912,0.0002435037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003030174,0.0007916297,0.9042406,0.000009739852,0.0002396638,0.000008541345,0.0002876935,0.00006089485,0.0000969018,0.006275332,0.0007715675,0.08418728],"study_design_scores_gemma":[0.003157058,0.0015233,0.9901798,0.00008612978,0.00000255601,0.00001747725,0.00001742408,0.00004240139,0.0002540509,0.00338275,0.001111907,0.0002251356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864943,0.004402047,0.000003069781,0.001288743,0.0001884333,0.0004405093,0.006165421,0.00001342264,0.001004075],"genre_scores_gemma":[0.9764776,0.02220773,0.00002330059,0.00006418262,0.0004609998,0.0002516105,0.00001170258,0.00003793401,0.0004650058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166273,"threshold_uncertainty_score":0.9997398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09645902789587696,"score_gpt":0.3492495057054587,"score_spread":0.2527904778095817,"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."}}