{"id":"W3047439724","doi":"","title":"Understanding the Treatment Preferences of Neuroendocrine Tumor Patients Using Discrete Choice Experiments","year":2020,"lang":"en","type":"article","venue":"Pancreas","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre; University of Alberta","funders":"","keywords":"Neuroendocrine tumors; Medicine; Discrete choice; Internal medicine; Oncology; Computer science; Machine learning","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":[0.01084213,0.0005399277,0.0007857269,0.0003703732,0.0002281037,0.001974191,0.0006797729,0.001602876,0.004670741],"category_scores_gemma":[0.03112092,0.0002978818,0.0009033452,0.0003590925,0.001281902,0.001848261,0.0005551446,0.00216365,0.0001712628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862662,"about_ca_system_score_gemma":0.0008279675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131904,"about_ca_topic_score_gemma":0.0007744259,"domain_scores_codex":[0.9960872,0.003415555,0.00006162342,0.0001766082,0.0001099846,0.000149048],"domain_scores_gemma":[0.947562,0.0491627,0.001825046,0.0007327118,0.0001620456,0.0005554257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01751473,0.008255185,0.1302761,0.0006119327,0.002477243,0.000873878,0.0007926779,0.5316272,0.007161184,0.2032924,0.002459757,0.09465773],"study_design_scores_gemma":[0.002233675,0.002847244,0.01759163,0.00007990876,0.0003282996,0.0002081721,0.0005136486,0.6529458,0.001562925,0.3202665,0.001340816,0.00008137564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418502,0.0008306754,0.04793154,0.005315552,0.00007984204,0.0001349335,0.0003426659,0.00002193699,0.003492631],"genre_scores_gemma":[0.994804,0.000274009,0.004075268,0.0002986545,0.00003389637,0.0000550564,0.00006561082,0.000002553852,0.0003909105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084213,"threshold_uncertainty_score":0.05733937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3733214016234297,"score_gpt":0.2676100028041029,"score_spread":0.1057113988193268,"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."}}