{"id":"W3206904868","doi":"10.1186/s41687-021-00375-1","title":"A multi-level approach for the use of routinely collected patient-reported outcome measures (PROMs) data in healthcare systems","year":2021,"lang":"en","type":"article","venue":"Journal of Patient-Reported Outcomes","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"EuroQol Research Foundation; University of Alberta","keywords":"Patient-reported outcome; Outcome (game theory); Health care; Healthcare system; Medicine; Computer science; Nursing; Mathematics; Quality of life (healthcare); Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1924485,0.001350696,0.003452864,0.01350011,0.003388532,0.009554448,0.004562303,0.001956766,0.003266963],"category_scores_gemma":[0.3560482,0.001814544,0.005041949,0.01683756,0.001674256,0.006209935,0.01253104,0.005794967,0.0008679731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006648384,"about_ca_system_score_gemma":0.01741078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146218,"about_ca_topic_score_gemma":0.02022449,"domain_scores_codex":[0.6283985,0.2608952,0.05894196,0.01686996,0.03116976,0.003724526],"domain_scores_gemma":[0.6211441,0.2347171,0.04298376,0.04520223,0.0526731,0.003279754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001151723,0.001346808,0.482375,0.007847494,0.007605131,0.0006761883,0.01950148,0.01612603,0.008231519,0.06997081,0.01256768,0.3726001],"study_design_scores_gemma":[0.0006095364,0.003923779,0.4931041,0.007836943,0.00553784,0.001202436,0.01936958,0.2740101,0.01697129,0.1054863,0.07101172,0.0009363902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0597754,0.0008431607,0.9072073,0.005533514,0.0002840734,0.01135122,0.00605402,0.001417948,0.007533516],"genre_scores_gemma":[0.1977469,0.0001938773,0.7872626,0.0009477835,0.00008734877,0.01091341,0.002125616,0.0001536001,0.0005689806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1924485,"threshold_uncertainty_score":0.9958548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3719970014783508,"score_gpt":0.3883887090911753,"score_spread":0.01639170761282449,"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."}}