{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156232,0.000359449,0.0004500669,0.002650041,0.002006608,0.001099202,0.001413372,0.0004187849,0.001491027],"category_scores_gemma":[0.003692084,0.0003859985,0.0009459827,0.007703742,0.0005345856,0.0004574814,0.0009918228,0.0006977741,0.000227075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.021376,"about_ca_system_score_gemma":0.02816699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935017,"about_ca_topic_score_gemma":0.9928588,"domain_scores_codex":[0.9980574,0.0001523581,0.0001303904,0.000160013,0.001083529,0.000416196],"domain_scores_gemma":[0.9972935,0.0001396577,0.0006460942,0.00007682153,0.001410435,0.0004333611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002410275,0.00002761837,0.9960966,0.00005220125,0.00006170769,0.0000373471,0.0003156086,0.00006409007,0.00004281371,0.00003389248,0.0009298977,0.002314175],"study_design_scores_gemma":[0.000001506651,0.00001078151,0.9989717,0.00001481122,0.00001117263,0.0000162663,0.0004827123,0.0001153206,0.000009209326,0.000004531258,0.0003576184,0.000004435453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779842,0.0009008624,0.0002885909,0.0005340737,0.0000196405,0.0002219043,0.01726774,0.00002172373,0.002761284],"genre_scores_gemma":[0.9898773,0.00124614,0.0006173265,0.000205746,0.00001098959,0.00009590375,0.007344345,0.000006760744,0.0005955268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.021376,"threshold_uncertainty_score":0.1550944,"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."}}