{"id":"W4390141481","doi":"10.1111/dom.15420/v2/review2","title":"Review for \"Reduced incidence of diabetes during the &lt;scp&gt;COVID&lt;/scp&gt;‐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); Animal science; 2019-20 coronavirus outbreak; Medicine; Gerontology; Virology; Internal medicine; Biology; Mathematics; 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":[0.01584857,0.001245617,0.002962072,0.007187797,0.003187666,0.00569891,0.006577064,0.005628335,0.06939358],"category_scores_gemma":[0.06928539,0.0009676103,0.003590148,0.007963652,0.002066856,0.001856484,0.002333097,0.002777632,0.01258583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0212718,"about_ca_system_score_gemma":0.138762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5865915,"about_ca_topic_score_gemma":0.7723813,"domain_scores_codex":[0.9888325,0.002027661,0.001053351,0.0004798338,0.006451832,0.001154805],"domain_scores_gemma":[0.9078457,0.01432011,0.005656446,0.001573668,0.06569956,0.004904503],"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":[0.00006820221,0.00002284819,0.0004262846,0.006707152,0.0001858462,0.00002673051,0.0000663067,0.00002093143,0.00002394616,0.0003450204,0.9665695,0.02553727],"study_design_scores_gemma":[0.001025985,0.00009010809,0.03632585,0.04856778,0.001814313,0.0001066432,0.0004698829,0.00007884998,0.0001024211,0.0009080335,0.9104403,0.00006972216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002774702,0.3512107,0.0004754343,0.3478822,0.1292842,0.00313209,0.07146133,0.0009750348,0.09280433],"genre_scores_gemma":[0.03104244,0.4155369,0.003828367,0.2207512,0.03562513,0.003686412,0.06134675,0.0007911441,0.2273916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9841514,"threshold_uncertainty_score":0.8316863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4004310057746102,"score_gpt":0.5898797071339157,"score_spread":0.1894487013593055,"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."}}