{"id":"W3193993648","doi":"10.1371/journal.pone.0256536","title":"The impact of chronic comorbidities at the time of breast cancer diagnosis on quality of life, and emotional health following treatment in Canada","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer survivorship and care","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Medicine; Breast cancer; Odds ratio; Quality of life (healthcare); Comorbidity; Cancer; Odds; Confidence interval; Internal medicine; Logistic regression; Cross-sectional study; Physical therapy; Pathology","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":[0.0006898485,0.0001519814,0.0002948961,0.0008786613,0.002459825,0.001193434,0.0007795428,0.0003158907,0.002926227],"category_scores_gemma":[0.003410148,0.0001815394,0.0005175452,0.003182348,0.0005336992,0.0003118579,0.001003521,0.0006823614,0.0001280843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02997148,"about_ca_system_score_gemma":0.04845034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938442,"about_ca_topic_score_gemma":0.99615,"domain_scores_codex":[0.9988894,0.0001018814,0.00006847877,0.0001031699,0.0004227005,0.0004143697],"domain_scores_gemma":[0.9970701,0.0002197663,0.0006554702,0.00005202483,0.001110161,0.0008924709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006836353,0.00002358913,0.9881325,0.00008188186,0.0000500668,0.00008101216,0.0004366802,0.00009436255,0.00007706151,0.0001185371,0.001454658,0.009381207],"study_design_scores_gemma":[0.000006560642,0.00001285531,0.9977229,0.00008092182,0.00002344454,0.00005952234,0.0009033152,0.0001702101,0.00002589242,0.00004361618,0.000943199,0.000007560801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801447,0.005328499,0.0001411702,0.003025312,0.00003625114,0.00005194945,0.005692199,0.0000112666,0.005568685],"genre_scores_gemma":[0.9960974,0.001989691,0.0001431582,0.0002465219,0.000008653454,0.000014615,0.0009871243,0.000003369429,0.0005093876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02997148,"threshold_uncertainty_score":0.2174593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099600796650527,"score_gpt":0.31032996590927,"score_spread":0.2593339579427647,"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."}}