{"id":"W3048785582","doi":"10.2196/20288","title":"Telehealth and Palliative Care for Patients With Cancer: Implications of the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Medicine; Palliative care; Pandemic; Telemedicine; Isolation (microbiology); Psychological intervention; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Population; Incidence (geometry); Cancer; Health care; Medical emergency; Family medicine; Nursing; Disease; Internal medicine; Environmental health; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002937121,0.00009777991,0.0002268623,0.00002219119,0.0001343015,0.000004241673,0.00006555123,0.00005381633,0.00003674757],"category_scores_gemma":[0.0001322081,0.00005949241,0.00003891914,0.0002055349,0.00007433775,0.00002690342,0.00002401166,0.0001200818,2.912323e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279024,"about_ca_system_score_gemma":0.002415294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002945068,"about_ca_topic_score_gemma":0.005385052,"domain_scores_codex":[0.9992769,0.00001903866,0.0001635343,0.0002088194,0.0001457778,0.0001859734],"domain_scores_gemma":[0.9989482,0.000119788,0.000147134,0.0001637345,0.0002534183,0.0003677621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004239985,0.00002196819,0.9730164,0.001707241,0.00002813422,1.018687e-7,0.00775794,0.00001198303,0.00004503769,0.00005127877,0.003555869,0.01338008],"study_design_scores_gemma":[0.002295131,0.0004338055,0.8814109,0.0001111925,0.00005883496,2.765009e-7,0.0003274539,0.00001157648,0.00002664014,0.00002989539,0.1152291,0.00006518013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790513,0.002257717,0.0001556213,0.1138931,0.00006319511,0.003298724,0.001195949,0.00003887045,0.00004547131],"genre_scores_gemma":[0.9587784,0.0006984535,0.00005540008,0.03949849,0.0001281341,0.0007745593,0.00002399717,0.00001600473,0.00002659192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116733,"threshold_uncertainty_score":0.4452081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192715085329936,"score_gpt":0.4584168493229311,"score_spread":0.3391453407899375,"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."}}