{"id":"W4307970680","doi":"10.1093/jnci/djac204","title":"Factors associated with timely COVID-19 vaccination in a population-based cohort of patients with cancer","year":2022,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Public Health Ontario; University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Vaccination; Hazard ratio; Socioeconomic status; Confidence interval; Cohort; Cancer; Population; Proportional hazards model; Internal medicine; Demography; Cohort study; Immunology; Environmental health","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":[0.0003792994,0.0001729928,0.0002278599,0.0003965075,0.0007991674,0.0006480529,0.0003867572,0.0003936405,0.001819244],"category_scores_gemma":[0.00243985,0.0002278366,0.0003690861,0.000932496,0.0002745664,0.0003222767,0.0003545974,0.0008500557,0.0001646903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463976,"about_ca_system_score_gemma":0.002614514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3012128,"about_ca_topic_score_gemma":0.3233697,"domain_scores_codex":[0.999599,0.00004434771,0.00003183875,0.00009135644,0.00009687473,0.0001366327],"domain_scores_gemma":[0.9985685,0.0001540983,0.0006458599,0.00006896185,0.0002037064,0.0003587892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002263033,0.00001136703,0.9995013,0.000002428041,0.000008048096,0.00001551669,0.00003459715,0.00001901315,0.00003428522,0.000004709376,0.0001208604,0.0002252999],"study_design_scores_gemma":[0.000003588862,0.00002698327,0.9994306,0.000004905899,0.000007740101,0.00005384277,0.0001683807,0.0001194367,0.00001043768,0.000007581937,0.0001646645,0.000001839995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983407,0.0001814691,0.0000373799,0.0001857027,0.00001004634,0.0000119567,0.0006968424,0.000003125733,0.0005328112],"genre_scores_gemma":[0.9993426,0.00007191666,0.00002672012,0.00004100171,0.000006709124,0.000005754258,0.0004019726,0.000001160949,0.0001020476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3012128,"threshold_uncertainty_score":0.5989192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054293290765148,"score_gpt":0.4014018232176325,"score_spread":0.2959724941411176,"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."}}