{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600644,0.0002486373,0.0002459949,0.0005466442,0.003103549,0.00271034,0.0006520464,0.00300168,0.007119672],"category_scores_gemma":[0.005388021,0.0001512783,0.0004740377,0.0006727746,0.002171901,0.003054617,0.00367416,0.004593297,0.0004460349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623459,"about_ca_system_score_gemma":0.003803518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859647,"about_ca_topic_score_gemma":0.01293086,"domain_scores_codex":[0.9981707,0.001086793,0.00007661856,0.00007292958,0.0002608234,0.0003320825],"domain_scores_gemma":[0.9971642,0.001187123,0.00030745,0.00005327538,0.0002570179,0.001031026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000251483,0.0008393362,0.09227648,0.00233511,0.00009060781,0.08697563,0.03798131,0.001975456,0.00205772,0.09336113,0.2235045,0.4583513],"study_design_scores_gemma":[0.00006994132,0.0008447053,0.05504282,0.007254813,0.00009595724,0.07083464,0.1406009,0.00226432,0.0006792669,0.04777915,0.6743457,0.0001877877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07446113,0.03332536,0.001331064,0.8345879,0.002419186,0.0000632533,0.0001032035,0.00003250773,0.05367625],"genre_scores_gemma":[0.8045449,0.08649426,0.003181003,0.09235991,0.007529257,0.00012044,0.0001054469,0.00003986015,0.005624974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007119672,"threshold_uncertainty_score":0.02381772,"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."}}