{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005196498,0.0001312725,0.0003708001,0.00003232159,0.00006780059,0.00002345857,0.00005107012,0.0001118145,0.0001777024],"category_scores_gemma":[0.0006551308,0.0001093576,0.0001445092,0.0001257208,0.00006865184,0.00009158386,0.00003343783,0.0001638296,0.000003400191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056948,"about_ca_system_score_gemma":0.0003912903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207328,"about_ca_topic_score_gemma":0.002952935,"domain_scores_codex":[0.9985228,0.00005527613,0.0005445682,0.0004621161,0.0001946886,0.0002205805],"domain_scores_gemma":[0.9982543,0.0003263906,0.0001841156,0.0005227013,0.000547132,0.0001653398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001935136,0.00003413111,0.8429663,0.000104583,0.00007652832,2.887627e-7,0.0002588222,0.000005826857,0.0005343449,0.00003069632,0.0008248949,0.1549701],"study_design_scores_gemma":[0.001039079,0.0002350105,0.9349732,0.0001061672,0.0002831618,0.000004144667,0.0001393629,0.000137852,0.0001657577,0.0001146317,0.06264533,0.0001562868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925003,0.002491263,0.0001109698,0.002050195,0.001105708,0.001303449,0.000153956,0.00005433629,0.000229791],"genre_scores_gemma":[0.9952545,0.0005448827,0.0002712299,0.001813275,0.0002599175,0.0007809675,0.00002536125,0.00002799759,0.001021939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1548138,"threshold_uncertainty_score":0.4459473,"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."}}