{"id":"W4392891254","doi":"10.1111/jan.16136/v1/decision1","title":"Decision letter for \"The impact of the COVID‐19 pandemic on longitudinal trends of surgical mortality and inpatient quality of care in Ontario, Canada\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Quality (philosophy); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Geography; Demography; Virology; Sociology; Internal medicine; Disease; Outbreak","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":[0.01361447,0.0009647623,0.002850867,0.002599733,0.01068852,0.008458895,0.005117496,0.05686185,0.04896352],"category_scores_gemma":[0.08194839,0.001501306,0.003788417,0.002442279,0.004440135,0.002865,0.002679975,0.02248653,0.01994775],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02661125,"about_ca_system_score_gemma":0.130724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6422151,"about_ca_topic_score_gemma":0.7761199,"domain_scores_codex":[0.9833391,0.001496718,0.001449881,0.001142845,0.009387275,0.003184156],"domain_scores_gemma":[0.9170427,0.0166554,0.002306414,0.001957523,0.04748064,0.01455726],"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":[0.00002277973,0.0000110591,0.000168834,0.00001976725,0.000008138304,0.00005735771,0.00002804714,0.00001491238,0.00001609684,0.0003215815,0.9983236,0.001007716],"study_design_scores_gemma":[0.0002139108,0.00003024385,0.004222895,0.0002943417,0.00005730145,0.00008871308,0.0004219316,0.0003449668,0.0001056037,0.0008311464,0.993297,0.00009199925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0008875303,0.0007194417,0.0001454458,0.8800393,0.09402449,0.0003819174,0.002373342,0.0001670518,0.02126149],"genre_scores_gemma":[0.00599301,0.001065144,0.0005896492,0.7910289,0.03425264,0.00038419,0.0009391925,0.0001737839,0.1655735],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9863855,"threshold_uncertainty_score":0.719784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.300903462044896,"score_gpt":0.5099043323114615,"score_spread":0.2090008702665654,"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."}}