{"id":"W3171053777","doi":"10.1200/jco.2021.39.15_suppl.e18768","title":"Your voice matters during COVID-19: Evaluation of digital divides across a tertiary cancer center.","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"Princess Margaret Cancer Foundation","keywords":"Medicine; Demography; Socioeconomic status; Logistic regression; Demographics; Family medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02455878,0.0003023533,0.0005916607,0.0009994783,0.002104877,0.002504758,0.001478234,0.0006147071,0.008110921],"category_scores_gemma":[0.05223782,0.0002937725,0.001018642,0.00187728,0.001006342,0.001982904,0.004733506,0.001190304,0.0008581329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01442708,"about_ca_system_score_gemma":0.0219539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1071934,"about_ca_topic_score_gemma":0.2120009,"domain_scores_codex":[0.9887251,0.005254335,0.0011876,0.0005495916,0.002649102,0.001634244],"domain_scores_gemma":[0.949727,0.01316008,0.008251649,0.001998165,0.0132143,0.01364891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004795227,0.00404885,0.7428966,0.001306737,0.0002100879,0.0002172867,0.01915473,0.0004880393,0.0004275967,0.0003709385,0.03125753,0.1948264],"study_design_scores_gemma":[0.001036064,0.009350304,0.9254216,0.0007586906,0.0001875302,0.0001151956,0.04081502,0.002164995,0.0004758247,0.0001712224,0.01940195,0.0001015745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980444,0.0003276769,0.0003457213,0.002632433,0.00009166883,0.004660169,0.003339502,0.0001021497,0.008056613],"genre_scores_gemma":[0.9870116,0.0003826055,0.002489322,0.001721619,0.0000674185,0.004536483,0.002096163,0.00004568151,0.001649152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071934,"threshold_uncertainty_score":0.2131389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.298680196231867,"score_gpt":0.6007069243108613,"score_spread":0.3020267280789942,"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."}}