{"id":"W2530928045","doi":"10.1200/jgo.2016.006916","title":"Identifying and Prioritizing Gaps in Neuroendocrine Tumor Research: A Modified Delphi Process With Patients and Health Care Providers to Set the Research Action Plan for the Newly Formed Commonwealth Neuroendocrine Tumor Collaboration","year":2016,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Delphi method; Action plan; Health care; Neuroendocrine tumors; Delphi; Comparative effectiveness research; Nursing; Alternative medicine; Pathology; Management; Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686234,0.0002143062,0.0005719672,0.0004365128,0.0006412885,0.0001404811,0.00035343,0.000007406618,0.000001428937],"category_scores_gemma":[0.003024261,0.0001080833,0.00004247121,0.001235669,0.0004413463,0.0005382902,0.0002203869,0.0009314189,8.35498e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151535,"about_ca_system_score_gemma":0.002494849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927385,"about_ca_topic_score_gemma":0.0107185,"domain_scores_codex":[0.9952748,0.001069845,0.0007882579,0.0004274268,0.001327179,0.001112483],"domain_scores_gemma":[0.9949079,0.001797437,0.0004573478,0.0002691232,0.002052037,0.0005162195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1473643,0.002308563,0.5519486,0.007096364,0.0004238685,0.03178857,0.01045797,0.0003356823,0.006017856,0.001996499,0.07191882,0.168343],"study_design_scores_gemma":[0.06087482,0.1238762,0.5567491,0.002940078,0.0001788894,0.06699176,0.1151621,0.0004740075,0.002115309,0.003570296,0.06640977,0.0006576337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719886,0.0007048344,0.00005343542,0.1230464,0.0001692204,0.003934193,0.00005068198,0.00001270339,0.00003992908],"genre_scores_gemma":[0.9969525,0.0005564253,0.0003928815,0.00161046,0.000203712,0.0002279546,0.000003985778,0.00003212476,0.00001999746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1676853,"threshold_uncertainty_score":0.5981173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673510035805308,"score_gpt":0.4950650592201327,"score_spread":0.3277140556396019,"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."}}