{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306004,0.000157162,0.0002556019,0.00008503411,0.000281126,0.0001644425,0.0005051979,0.0001090304,0.0001543786],"category_scores_gemma":[0.001215573,0.00009039658,0.0001664992,0.0003463432,0.001421871,0.00009665703,0.0006914135,0.0007159886,0.00002373834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725124,"about_ca_system_score_gemma":0.0007747804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6911111,"about_ca_topic_score_gemma":0.4504571,"domain_scores_codex":[0.9968539,0.0006582749,0.000565828,0.0004382315,0.0009929471,0.0004907976],"domain_scores_gemma":[0.9956712,0.003398168,0.00005305784,0.0003492853,0.00003607239,0.000492216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004623932,0.0003973789,0.9488959,0.0001322355,0.00009165957,0.0001064843,0.0001839345,0.000001902794,0.00921288,0.0002903686,0.03540574,0.004819171],"study_design_scores_gemma":[0.002811523,0.001442385,0.972436,0.0003713513,0.00001524632,0.0002903441,0.002933873,0.0007993727,0.01256265,0.001311564,0.00473735,0.0002883208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934705,0.004764789,0.00000280635,0.0001870281,0.0003588148,0.0004640132,0.0002487708,0.000006864282,0.0004964111],"genre_scores_gemma":[0.9959211,0.0005131572,6.278307e-7,0.0001108723,0.00003436473,0.00002204608,0.00001587174,0.00001730797,0.003364644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2406541,"threshold_uncertainty_score":0.5595706,"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."}}