{"id":"W3149257624","doi":"10.1371/journal.pone.0248492","title":"Impact of the COVID-19 pandemic on skin cancer diagnosis: A population-based study","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Government of Ontario; LEO Pharma; Ontario Institute for Cancer Research; Canadian Dermatology Foundation; Pfizer; Cancer Care Ontario; Sanofi; Eli Lilly and Company","keywords":"Medicine; Biopsy; Skin cancer; Pandemic; Poisson regression; Population; Melanoma; Cancer; Cancer registry; Cohort; Dermatology; Cohort study; Medical diagnosis; Coronavirus disease 2019 (COVID-19); Internal medicine; Pathology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001072751,0.0003990251,0.0003413053,0.000805659,0.0008967052,0.001037799,0.000874671,0.0007457862,0.00202159],"category_scores_gemma":[0.003239743,0.0004935276,0.0009288986,0.00176875,0.000646654,0.0007366911,0.000997027,0.0009659344,0.0003647755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355067,"about_ca_system_score_gemma":0.001851456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2126661,"about_ca_topic_score_gemma":0.2398974,"domain_scores_codex":[0.9989783,0.0001802006,0.00008220928,0.0002929045,0.0002272873,0.0002391739],"domain_scores_gemma":[0.9978404,0.0002567065,0.0009371723,0.0002383648,0.0003240615,0.0004032193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005273881,0.00002904398,0.9992544,0.000008237859,0.00004194668,0.00003240646,0.0001131353,0.00001775421,0.00005243425,0.00000865749,0.0001221577,0.0002670748],"study_design_scores_gemma":[0.000004692455,0.00006223888,0.9993513,0.000006373181,0.00002113276,0.00006485269,0.0002637987,0.00008224398,0.000008929964,0.000006534074,0.0001240685,0.000003810285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975778,0.0001593805,0.00005386211,0.0000624679,0.000004962111,0.00002796851,0.001570217,0.000004135463,0.0005391535],"genre_scores_gemma":[0.9987012,0.00009896947,0.00005002411,0.00004604404,0.000009770171,0.00001871396,0.0009289243,0.000002910611,0.0001433751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126661,"threshold_uncertainty_score":0.4228565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.227500977014222,"score_gpt":0.445030262626362,"score_spread":0.21752928561214,"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."}}