{"id":"W2031248090","doi":"10.1016/j.jval.2011.02.927","title":"PCN72 GENE EXPRESSION PROFILING FOR GUIDING ADJUVANT CHEMOTHERAPY DECISIONS IN WOMEN WITH EARLY BREAST CANCER: A COST-EFFECTIVENESS ANALYSIS OF 1000 STRATEGIES FOR THE PROVISION OF ADJUVANT! ONLINE, ONCOTYPE DX AND CHEMOTHERAPY","year":2011,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Health and Long Term Care; University of Toronto","funders":"","keywords":"Medicine; Oncology; Breast cancer; Internal medicine; Adjuvant chemotherapy; Chemotherapy; Stage (stratigraphy); Adjuvant; Gynecology; Cancer","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":[0.00242948,0.000689963,0.001244816,0.000839116,0.0001558915,0.0008646177,0.0003912551,0.0007101261,0.001513141],"category_scores_gemma":[0.004805009,0.0003104968,0.00232025,0.0007634629,0.0004795751,0.000619831,0.0003927753,0.0006034008,0.0001118976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691727,"about_ca_system_score_gemma":0.000738425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005662372,"about_ca_topic_score_gemma":0.005892624,"domain_scores_codex":[0.9988443,0.0007653894,0.00004403441,0.0001133991,0.0001541742,0.0000786083],"domain_scores_gemma":[0.9980589,0.001559269,0.0001747796,0.00006137518,0.00006041368,0.00008528336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2071437,0.005214921,0.1969735,0.001116299,0.008299311,0.0003562506,0.0001726424,0.133904,0.004872901,0.001473955,0.001958559,0.4385139],"study_design_scores_gemma":[0.02471812,0.07652895,0.4620934,0.0005390018,0.03091318,0.001214032,0.0008814094,0.3829585,0.009869592,0.004750018,0.005259992,0.0002738553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916998,0.005109913,0.001296078,0.0004662642,0.00003148117,0.0001126392,0.0005663596,0.00001388341,0.0007036574],"genre_scores_gemma":[0.9971038,0.001195416,0.001026302,0.00007688313,0.00001934224,0.00004334689,0.000345152,0.000002885102,0.0001869131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005662372,"threshold_uncertainty_score":0.0128485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3458329580443284,"score_gpt":0.4306384910490784,"score_spread":0.08480553300475002,"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."}}