{"id":"W2043390017","doi":"10.1007/s11136-014-0903-5","title":"Training clinicians in how to use patient-reported outcome measures in routine clinical practice","year":2015,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":245,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Calgary","funders":"Medical Research Council","keywords":"Medicine; Health care; Patient-reported outcome; Session (web analytics); Best practice; MEDLINE; Clinical trial; Public health; Medical education; Quality of life (healthcare); Nursing; Computer science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04265263,0.0001362736,0.0009013466,0.0004744649,0.00002802407,0.00004190669,0.000191157,0.0002223263,0.00001540852],"category_scores_gemma":[0.1780566,0.0001256944,0.0001485244,0.00117013,0.0001757299,0.0002300536,0.0001482503,0.001244259,0.00001702645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485467,"about_ca_system_score_gemma":0.001488759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02480395,"about_ca_topic_score_gemma":0.02735092,"domain_scores_codex":[0.9903882,0.004156512,0.001986878,0.0004971366,0.002384511,0.0005867357],"domain_scores_gemma":[0.9909717,0.00552151,0.0003169927,0.0007447334,0.00166967,0.0007754074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003686266,0.0006567103,0.9496391,0.00009409809,0.00004904506,0.0001242268,0.01887912,0.000006200174,0.00003643046,0.0001300764,0.001218689,0.02547997],"study_design_scores_gemma":[0.004313237,0.001461748,0.8642697,0.0002622477,0.00001948396,0.000008157897,0.0853603,0.00003914176,0.00003387286,0.00008399355,0.0439547,0.0001933986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693193,0.0001853609,0.00007311904,0.02686725,0.0002996703,0.00070489,0.00001303227,0.0000252447,0.002512155],"genre_scores_gemma":[0.996839,0.0000376597,0.0007919738,0.001767896,0.0001874685,0.00003632023,0.00001168232,0.00002376539,0.0003042547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.135404,"threshold_uncertainty_score":0.9903974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.844712304040882,"score_gpt":0.6170262403339081,"score_spread":0.227686063706974,"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."}}