{"id":"W7038750181","doi":"","title":"Is Service Provision Always Equitable? Analyzing Access to Dental Services and Oral Health of Older Adults in Ontario","year":2021,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral health; Dental insurance; Logistic regression; Service (business); Health services; Tooth loss; Dental care; Dental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256862,0.0001365585,0.0003614615,0.001154779,0.002230515,0.001568599,0.000874962,0.0003555259,0.002395165],"category_scores_gemma":[0.006834385,0.0002362991,0.0005188643,0.004104012,0.000738512,0.0007175707,0.001422364,0.0004249516,0.0001725214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02556254,"about_ca_system_score_gemma":0.02621777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829828,"about_ca_topic_score_gemma":0.9908969,"domain_scores_codex":[0.9985036,0.0001421256,0.000143319,0.0001224867,0.0006182899,0.0004703033],"domain_scores_gemma":[0.9959467,0.0003771154,0.001410664,0.0001493592,0.00133286,0.0007832897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003334806,0.00001860024,0.9871758,0.0000713814,0.00002777654,0.00006371903,0.00575169,0.00004177868,0.00007970328,0.0002534478,0.0009714937,0.005511311],"study_design_scores_gemma":[0.00000223663,0.00001072561,0.992847,0.00005015492,0.0000129612,0.00001502643,0.005375939,0.0000783504,0.00001265349,0.00003307279,0.001558539,0.000003292615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912723,0.0005066553,0.00007984564,0.001125723,0.00001044911,0.00005841231,0.001824304,0.000003901192,0.005118454],"genre_scores_gemma":[0.9980196,0.0004180526,0.0001277953,0.0001146334,0.000007699093,0.00002815091,0.0004773341,0.000002396922,0.0008043771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556254,"threshold_uncertainty_score":0.1854701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181498946230377,"score_gpt":0.2632573443355392,"score_spread":0.2514423548732354,"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."}}