{"id":"W2018075218","doi":"10.1002/pon.1590","title":"Predictors of distress and quality of life in patients undergoing cancer therapy: impact of treatment type and decisional role","year":2009,"lang":"en","type":"article","venue":"Psycho-Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; University of British Columbia; University of Manitoba; BC Cancer Agency; CancerCare Manitoba","funders":"National Cancer Institute; BC Cancer Agency; Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance","keywords":"Medicine; Distress; Quality of life (healthcare); Breast cancer; Prostate cancer; Randomized controlled trial; Receipt; Cancer; Oncology; Radiation therapy; Marital status; Internal medicine; Multivariate analysis; Physical therapy; Clinical psychology; Population; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069666,0.00008630908,0.0004343005,0.00006878097,0.000008101603,0.000001044341,0.00003011149,0.00008457574,0.00006614434],"category_scores_gemma":[0.00005560706,0.00006149533,0.00004827352,0.0001305175,0.00007116474,0.0000216682,0.000008130072,0.00004792885,8.461728e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920168,"about_ca_system_score_gemma":0.0003247154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638815,"about_ca_topic_score_gemma":0.003381806,"domain_scores_codex":[0.9992547,0.00007353829,0.0003194971,0.0001398852,0.0001137279,0.00009865165],"domain_scores_gemma":[0.9993388,0.0001837815,0.0001696569,0.0001201019,0.0001048848,0.0000827885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004185627,0.0005865406,0.9359859,0.00002649771,0.0001036111,3.275524e-7,0.003733154,0.000008531668,0.001345767,0.00001549452,0.00004140434,0.05396721],"study_design_scores_gemma":[0.005468617,0.007164077,0.9861291,0.00006298511,0.00002325384,4.590412e-7,0.0005312865,0.000007977036,0.0003032164,0.0001084756,0.0001567708,0.00004379919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995225,0.003707028,0.0000019445,0.0000960617,0.0001391275,0.0001826611,0.00007645269,0.000003039331,0.0005686894],"genre_scores_gemma":[0.9973333,0.002525796,0.00001997795,0.00005143443,0.00003232314,0.000005212439,0.00001535627,0.000004750402,0.00001183082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05392341,"threshold_uncertainty_score":0.5500824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050275937817212,"score_gpt":0.3975705297743961,"score_spread":0.3570677703962239,"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."}}