{"id":"W4285795784","doi":"10.21203/rs.3.rs-1832888/v1","title":"Impact of COVID-19 on hospital visits for non-traumatic dental conditions in Ontario, Canada","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Wilfrid Laurier University; Public Health Ontario","funders":"","keywords":"Medicine; Attendance; Coronavirus disease 2019 (COVID-19); Emergency department; Health care; Dental care; Disadvantaged; Emergency medicine; Family medicine; Medical emergency; Nursing; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007519872,0.0002691202,0.0002689873,0.001273082,0.002249582,0.001423642,0.001074854,0.0003287412,0.00356094],"category_scores_gemma":[0.0039385,0.0002697545,0.0006264288,0.002470881,0.000700595,0.0004237486,0.001479342,0.0009763649,0.00025348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04920529,"about_ca_system_score_gemma":0.07523979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961109,"about_ca_topic_score_gemma":0.9982668,"domain_scores_codex":[0.9979156,0.0001022504,0.0001112659,0.0001320453,0.0009351282,0.0008037589],"domain_scores_gemma":[0.9943001,0.0001975279,0.001170497,0.00008295083,0.00248468,0.001764225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001452427,0.0000630581,0.9693048,0.0002237604,0.00007342992,0.0001477866,0.001113921,0.0002793905,0.0002865958,0.0003563917,0.01215506,0.01585049],"study_design_scores_gemma":[0.000006644861,0.00002819758,0.9939126,0.00008253665,0.00001626096,0.00003114032,0.001288629,0.0001713961,0.00006940023,0.0000225642,0.004360989,0.000009678814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298035,0.004442628,0.0003400547,0.008712045,0.000187621,0.0001753556,0.03382445,0.00006811467,0.02244626],"genre_scores_gemma":[0.989611,0.001534737,0.0003019667,0.0006141239,0.00003639963,0.00003840786,0.004294347,0.00001401378,0.003554992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04920529,"threshold_uncertainty_score":0.357011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07185707782036717,"score_gpt":0.45766607126381,"score_spread":0.3858089934434429,"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."}}