{"id":"W2910212392","doi":"10.1002/cncr.31928","title":"Evaluating cancer patient–reported outcome measures: Readability and implications for clinical use","year":2019,"lang":"en","type":"article","venue":"Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Cancer Care Ontario; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Readability; Prom; Patient-reported outcome; Plain language; Medicine; Comprehension; Best practice; Quality of life (healthcare); Grade level; Medical physics; MEDLINE; Physical therapy; Psychology; Nursing; Computer 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":[0.09809768,0.0008016992,0.00160325,0.005127447,0.0005239762,0.00259818,0.0009457957,0.0008790148,0.0019935],"category_scores_gemma":[0.2685927,0.0002634419,0.002075762,0.005120179,0.000994873,0.002821628,0.001743549,0.001308679,0.0004973569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498823,"about_ca_system_score_gemma":0.001793574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066551,"about_ca_topic_score_gemma":0.001501863,"domain_scores_codex":[0.9174931,0.04851202,0.01505621,0.002634266,0.01550804,0.0007965207],"domain_scores_gemma":[0.6870943,0.1887574,0.07414646,0.01048107,0.03722227,0.002298491],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143185,0.0005692659,0.7913781,0.002158915,0.001281781,0.0001227619,0.002623039,0.001111056,0.0007630146,0.0009718435,0.004874641,0.1927138],"study_design_scores_gemma":[0.0001839034,0.002123471,0.9803938,0.001676963,0.0004244679,0.0004373556,0.001667758,0.003296097,0.001334113,0.002370904,0.00600176,0.00008942629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024141,0.01500199,0.03064277,0.008021862,0.0006816135,0.004767139,0.009294712,0.000555857,0.02861994],"genre_scores_gemma":[0.9732345,0.002126145,0.01715765,0.0008686364,0.0003078272,0.002888612,0.002793805,0.00007911615,0.0005436824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9019023,"threshold_uncertainty_score":0.5187963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4342859003393458,"score_gpt":0.5276616916762326,"score_spread":0.09337579133688678,"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."}}