{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006785154,0.0001803551,0.0002827136,0.0002646021,0.0004531742,0.0004474508,0.0002209318,0.0002779602,0.002422957],"category_scores_gemma":[0.004057406,0.000105821,0.0004544799,0.0003993926,0.0003186575,0.0001415824,0.0002984486,0.0006119735,0.00007789257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009478204,"about_ca_system_score_gemma":0.001603045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03900607,"about_ca_topic_score_gemma":0.07803627,"domain_scores_codex":[0.9993666,0.000239182,0.0000496205,0.00006962518,0.0001447928,0.000130205],"domain_scores_gemma":[0.998076,0.0006535227,0.0006344727,0.00005326534,0.0001638196,0.000418858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002655253,0.0001074513,0.9961419,0.00002068054,0.00006209766,0.00001905482,0.0001094234,0.00006361604,0.0001034509,0.000006826317,0.00006271135,0.003037381],"study_design_scores_gemma":[0.00002205824,0.0001690098,0.9992168,0.000007582166,0.00002850114,0.00004197447,0.0002090254,0.000163566,0.00003868555,0.000009682878,0.00009016708,0.000002971964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993406,0.0001579886,0.00003539,0.00008984286,0.000003207758,0.00001632499,0.0001093527,8.999979e-7,0.0002463474],"genre_scores_gemma":[0.9997041,0.00004472244,0.00005521763,0.00002276312,0.000003423932,0.000008621023,0.00009716983,3.2535e-7,0.0000636467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03900607,"threshold_uncertainty_score":0.07755804,"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."}}