{"id":"W4400427460","doi":"10.1002/cre2.913","title":"The Impact of the COVID‐19 Pandemic on Pattern of Antibiotic and Opioid Prescriptions by Dentists in Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"Clinical and Experimental Dental Research","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Northern Alberta Clinical Trials and Research Centre","keywords":"Medical prescription; Medicine; Pandemic; Antibiotics; Coronavirus disease 2019 (COVID-19); Population; Emergency medicine; Environmental health; Internal medicine; Disease; Pharmacology; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007123812,0.0002753626,0.0002429408,0.001476854,0.001576971,0.001185644,0.0009936695,0.0004294874,0.001767477],"category_scores_gemma":[0.002246035,0.0002520769,0.0003506255,0.003002772,0.0006784287,0.0002875041,0.0008867194,0.0005551867,0.000140773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03103432,"about_ca_system_score_gemma":0.03882669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953297,"about_ca_topic_score_gemma":0.9972953,"domain_scores_codex":[0.9989491,0.00007287058,0.00003889449,0.00009239348,0.0004605532,0.0003861742],"domain_scores_gemma":[0.9981548,0.0001509656,0.0003248218,0.00003365845,0.0008744899,0.0004612738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00015322,0.00005938796,0.9841937,0.0000550109,0.00003188262,0.0002404297,0.001215737,0.0003864747,0.0004835259,0.0001215068,0.00146111,0.0115979],"study_design_scores_gemma":[0.000004245031,0.00002121483,0.9968816,0.00001856866,0.000007590295,0.00003818812,0.001930293,0.0004068799,0.00006037414,0.00001052747,0.000613959,0.000006573634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995193,0.0006189198,0.00009564069,0.0005288634,0.00001275469,0.00003379482,0.001555635,0.00001376146,0.001947494],"genre_scores_gemma":[0.9971803,0.0005071706,0.0002328094,0.0001650571,0.000006851575,0.00000907089,0.000873659,0.000004469938,0.001020509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03103432,"threshold_uncertainty_score":0.2251707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134875768070759,"score_gpt":0.4951720433506404,"score_spread":0.3816844665435645,"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."}}