{"id":"W4381682527","doi":"10.3390/curroncol30070446","title":"Impact of Cancer-Related Virtual Visits on Travel Distance, Travel Time, and Carbon Dioxide (CO2) Emissions during the COVID-19 Pandemic in Manitoba, Canada","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Canadian Institutes of Health Research; University of Manitoba; Horizon 2020 Framework Programme; CancerCare Manitoba Foundation; Research Manitoba","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Carbon dioxide; Time travel; Cancer; Air travel; Environmental health; Medical emergency; Virology; Pathology; Disease; Outbreak; Engineering; Computer science; Internal medicine; Aviation; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006545054,0.0003313585,0.000310319,0.0006825523,0.001173254,0.001272603,0.00085062,0.0002866132,0.00275059],"category_scores_gemma":[0.004193368,0.0002347017,0.0008773269,0.002041691,0.0005457012,0.000420111,0.001331952,0.0008036179,0.0001596512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01368487,"about_ca_system_score_gemma":0.0139189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9645314,"about_ca_topic_score_gemma":0.975612,"domain_scores_codex":[0.9988199,0.0002895502,0.00006053308,0.0001100741,0.0003142921,0.0004056794],"domain_scores_gemma":[0.9970264,0.0004531814,0.0006673541,0.0001141631,0.0007610027,0.000977909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385196,0.00006212873,0.9882188,0.00005508921,0.0001497807,0.0001279278,0.0003090509,0.001574694,0.0000780942,0.0001168247,0.002255344,0.00691375],"study_design_scores_gemma":[0.000008625774,0.0000533882,0.9947054,0.0000583231,0.00005058194,0.00008529075,0.001312526,0.002034566,0.00005188635,0.00004112286,0.001583564,0.00001468411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883967,0.0008032029,0.0001477704,0.001057966,0.00003843507,0.00004415592,0.00601232,0.00002456583,0.003474973],"genre_scores_gemma":[0.9965615,0.0004461778,0.0001812011,0.0001817626,0.00001407211,0.00002131104,0.001924819,0.000007273757,0.000661933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03546858,"threshold_uncertainty_score":0.09929115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1190782202709898,"score_gpt":0.4389198171127409,"score_spread":0.3198415968417511,"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."}}