{"id":"W4385259370","doi":"10.7554/elife.83764.sa0","title":"Editor's evaluation: Pan-Canadian survey on the impact of the COVID-19 pandemic on cervical cancer screening and management: cross-sectional survey of healthcare professionals","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Cross-sectional study; Health care; Medicine; 2019-20 coronavirus outbreak; Cervical cancer; Health professionals; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cancer; Family medicine; Virology; Political science; Disease; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03222534,0.002046728,0.002601559,0.003320966,0.003600993,0.005528549,0.006904826,0.01383669,0.01180209],"category_scores_gemma":[0.2221318,0.0009204557,0.002097927,0.002873954,0.00302919,0.002361718,0.001976708,0.008277393,0.004104918],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01240929,"about_ca_system_score_gemma":0.04618125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1973875,"about_ca_topic_score_gemma":0.2535677,"domain_scores_codex":[0.9727675,0.005565432,0.003729822,0.001290275,0.01522632,0.001420655],"domain_scores_gemma":[0.7417155,0.04857819,0.009135945,0.002811015,0.1879232,0.00983616],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000308403,0.00001233301,0.0004032755,0.0005868422,0.00003221842,0.00006767594,0.00005041215,0.0000247051,0.0000180137,0.0001049474,0.9947712,0.003897433],"study_design_scores_gemma":[0.0003424874,0.00007526983,0.007268134,0.00818109,0.0003918655,0.0002663878,0.0008682146,0.0006850357,0.0003368094,0.0005906359,0.9808829,0.0001110474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0006526886,0.006031257,0.000170027,0.5324261,0.455789,0.0002961634,0.001178693,0.0001287008,0.003327301],"genre_scores_gemma":[0.01675418,0.01470418,0.001374712,0.5178227,0.4247999,0.000613517,0.0006832603,0.000234091,0.02301342],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9875907,"threshold_uncertainty_score":0.3924773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3898265927542768,"score_gpt":0.557733018003113,"score_spread":0.1679064252488362,"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."}}