{"id":"W4283324665","doi":"10.1101/2022.06.21.22276569","title":"The impact of lag time to cancer diagnosis and treatment on clinical outcomes prior to the COVID-19 pandemic: a scoping review of systematic reviews and meta-analyses","year":2022,"lang":"en","type":"review","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Meta-analysis; MEDLINE; Breast cancer; Systematic review; Pandemic; Cancer; Colorectal cancer; Disease; Oncology; Internal medicine; Demography; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","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":[0.04567193,0.003188604,0.01991402,0.01298077,0.0009101467,0.006223294,0.003454525,0.003244626,0.003381877],"category_scores_gemma":[0.1934224,0.002505778,0.04018919,0.01442891,0.001515171,0.004533324,0.003237032,0.003056517,0.0003602238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008124371,"about_ca_system_score_gemma":0.01241631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463303,"about_ca_topic_score_gemma":0.02642187,"domain_scores_codex":[0.9595564,0.01736735,0.01520731,0.003199328,0.00378166,0.0008879655],"domain_scores_gemma":[0.8328955,0.1353179,0.02064353,0.003117234,0.007441555,0.0005842999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006554337,0.00001875795,0.002774219,0.7659631,0.216714,0.00008175186,0.0001632475,0.0003353226,0.00008214543,0.0002145989,0.0005732786,0.01242407],"study_design_scores_gemma":[0.0003639985,0.0002165017,0.004730214,0.2878013,0.7023529,0.0001318491,0.0001633248,0.000191668,0.0001867643,0.0004920282,0.003326021,0.00004337221],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001648752,0.9963173,0.0004756981,0.0002703693,0.0001326588,0.0004205675,0.0005228713,0.00001554002,0.0001962781],"genre_scores_gemma":[0.07734047,0.9146098,0.00253327,0.001166026,0.0002593952,0.002910696,0.0009531514,0.00003597286,0.0001913306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04567193,"threshold_uncertainty_score":0.2415391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.812970365229253,"score_gpt":0.6662199518022137,"score_spread":0.1467504134270393,"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."}}