{"id":"W4416611430","doi":"10.1136/fmch-2025-003575","title":"Trends in missed paediatric preventive primary care visits during the COVID-19 pandemic using routinely collected electronic medical records in Ontario, Canada (2015–2022)","year":2025,"lang":"en","type":"article","venue":"Family Medicine and Community Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Memorial University of Newfoundland; University of Manitoba; University of Toronto; Concordia University; McGill University Health Centre; Canadian Institute for Health Information; Queen's University","funders":"Canadian Institutes of Health Research; Centers for Disease Control and Prevention; University of Toronto","keywords":"Pandemic; Attendance; Primary care; Medical record; Preventive care; Coronavirus disease 2019 (COVID-19); Primary health care; Public health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003372179,0.000331225,0.00105712,0.001009844,0.0008689793,0.0000106774,0.0003364769,0.0002435963,0.0001087195],"category_scores_gemma":[0.001716028,0.0002557143,0.00006001063,0.002519259,0.000131401,0.00005709602,0.0002035987,0.004249569,2.140331e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01642204,"about_ca_system_score_gemma":0.07405134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978268,"about_ca_topic_score_gemma":0.9995828,"domain_scores_codex":[0.9946885,0.002191647,0.001041771,0.0003613937,0.00072904,0.000987681],"domain_scores_gemma":[0.9962795,0.001830796,0.000242312,0.0006423824,0.0001363352,0.0008686337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001006562,0.0002035821,0.9593856,0.002439378,0.00006199181,0.0001136339,0.01711017,0.00001314569,0.00004794206,0.00001691645,0.00902343,0.01057763],"study_design_scores_gemma":[0.007415337,0.0007733419,0.9621292,0.00143866,0.00006814712,0.00009063098,0.01056466,0.0001395615,8.458704e-7,0.00004695969,0.01716139,0.0001712899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433333,0.01682081,0.00002842114,0.03783739,0.0002342199,0.0008481168,0.00001651198,0.0000507189,0.0008304791],"genre_scores_gemma":[0.9191386,0.003114919,0.00001356293,0.07674232,0.00009495878,0.0000318665,0.0002253399,0.00002086028,0.0006176006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0576293,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08222076050003026,"score_gpt":0.3921332636509476,"score_spread":0.3099125031509173,"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."}}