{"id":"W3170320287","doi":"10.1200/jco.2021.39.15_suppl.e18564","title":"Cancer care during COVID-19: Data from 157 patient organizations.","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ovarian Cancer Canada","funders":"","keywords":"Medicine; Cancer; Pandemic; Health care; Telemedicine; Family medicine; Nursing; Coronavirus disease 2019 (COVID-19); Economic growth; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005405087,0.0004210185,0.0007206179,0.004437033,0.001733806,0.002907906,0.0008000855,0.001495223,0.01287538],"category_scores_gemma":[0.02986377,0.000578715,0.001338632,0.01360546,0.0005668395,0.002499323,0.004383256,0.001843576,0.004575058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726985,"about_ca_system_score_gemma":0.004128261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02759807,"about_ca_topic_score_gemma":0.02597136,"domain_scores_codex":[0.990967,0.002536927,0.002730583,0.0007427291,0.001915515,0.001107179],"domain_scores_gemma":[0.9342265,0.02206326,0.02911414,0.002486327,0.006352051,0.005757841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006520654,0.0001726754,0.9544193,0.001149117,0.0001429068,0.0002327651,0.003177098,0.0001297664,0.00005763989,0.0001355549,0.02167599,0.01805518],"study_design_scores_gemma":[0.0001110429,0.0003026437,0.9696063,0.001063221,0.00008126697,0.0003611337,0.009548091,0.000178715,0.0000923549,0.00006064105,0.018555,0.00003947686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7978387,0.003958162,0.0003196097,0.00183777,0.0001051745,0.001060147,0.1813126,0.0001070667,0.01346073],"genre_scores_gemma":[0.8702947,0.004305451,0.001189181,0.00268802,0.0001971474,0.004597265,0.1112346,0.0001026574,0.005391065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759807,"threshold_uncertainty_score":0.0548749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1927782568945064,"score_gpt":0.430524314605843,"score_spread":0.2377460577113365,"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."}}