{"id":"W4390141434","doi":"10.1111/dom.15420/v3/response1","title":"Author response for \"Reduced incidence of diabetes during the <scp>COVID</scp>‐19 pandemic in Alberta: A time‐segmented longitudinal study of Alberta's Tomorrow Project\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Incidence (geometry); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Animal science; Gerontology; Demography; Virology; Internal medicine; Biology; Mathematics; Sociology; Outbreak; Infectious disease (medical specialty); Disease","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":[0.008577538,0.001282146,0.001685038,0.002239861,0.004887499,0.003596229,0.003477844,0.0150999,0.1418288],"category_scores_gemma":[0.04937693,0.0008404512,0.001264187,0.001591006,0.001585915,0.00142642,0.002614514,0.007125428,0.02331393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01011167,"about_ca_system_score_gemma":0.04409933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3073979,"about_ca_topic_score_gemma":0.4596258,"domain_scores_codex":[0.9945253,0.001024849,0.0004802982,0.0004375475,0.002399761,0.001132354],"domain_scores_gemma":[0.9523234,0.01034053,0.001538812,0.001017735,0.02577928,0.009000205],"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":[0.00003807045,0.000009378728,0.0004454807,0.00004632106,0.000004921229,0.00002489327,0.00003060059,0.00001238111,0.000008939947,0.00005639556,0.9983211,0.001001594],"study_design_scores_gemma":[0.001063708,0.0001639688,0.0341084,0.001345239,0.0001083424,0.0002040721,0.004118557,0.0004663984,0.0002528447,0.0007989358,0.9572117,0.0001578536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0025678,0.0008213602,0.0001166375,0.8751674,0.08553744,0.0003250639,0.02193308,0.0004282679,0.01310298],"genre_scores_gemma":[0.01533015,0.001956436,0.0005582669,0.5995437,0.02772982,0.001436322,0.01091914,0.0003692862,0.3421569],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9914225,"threshold_uncertainty_score":0.6112173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4142720465253957,"score_gpt":0.5958283881228684,"score_spread":0.1815563415974727,"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."}}