{"id":"W2036613810","doi":"10.1186/1472-6831-13-17","title":"Time loss due to dental problems and treatment in the Canadian population: analysis of a nationwide cross-sectional survey","year":2013,"lang":"en","type":"article","venue":"BMC Oral Health","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto","funders":"Government of Ontario","keywords":"Medicine; Tooth loss; Population; Cross-sectional study; Demography; Descriptive statistics; Productivity; Logistic regression; Environmental health; Oral and maxillofacial surgery; Gerontology; Oral health; Dentistry","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":[0.0006130043,0.00009375046,0.0002182786,0.0003473276,0.0001942885,0.00008509423,0.00008324632,0.00006385202,0.0002629512],"category_scores_gemma":[0.00004642566,0.00007470625,0.00004716743,0.0009740973,0.00003070575,0.0001236446,0.00001169326,0.00005050328,0.000100873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624322,"about_ca_system_score_gemma":0.0002858342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9065099,"about_ca_topic_score_gemma":0.9989532,"domain_scores_codex":[0.9985461,0.0002900033,0.0004194826,0.000212396,0.000279054,0.0002529894],"domain_scores_gemma":[0.9992943,0.00009372272,0.0001098241,0.0001467992,0.0001121434,0.000243198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001645224,0.00004866529,0.9983246,0.00002835378,0.00001593792,0.000001956922,0.000123579,0.0005005507,3.279289e-7,0.00006362475,0.00008571189,0.0007901816],"study_design_scores_gemma":[0.0002881875,0.0001048025,0.9964113,0.000006216696,0.000008760807,0.00001841671,0.00006222951,0.00294486,6.773916e-7,0.0000398381,0.00005558614,0.00005915336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985665,0.00007126079,0.00002807501,0.00003505171,0.0001119133,0.0008066914,0.0002748095,0.000009483756,0.00009620964],"genre_scores_gemma":[0.9977939,0.000003025808,0.00007973401,0.0004406087,0.00002531809,0.00007334044,0.001156775,0.000007073388,0.0004201887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09244327,"threshold_uncertainty_score":0.3046433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06378055410339079,"score_gpt":0.3682055100559992,"score_spread":0.3044249559526084,"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."}}