{"id":"W6958086585","doi":"10.6068/dp14ba8aaa54575","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Contact with dental professionals, by age group and sex, household population aged 12 and over | Variable: 65-74 years, Total population for the variable contact with dental professionals, Both sexes | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Health care; Health statistics; Population; Socioeconomic status; Official statistics; Population statistics; Medical statistics","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":[0.002635376,0.002659972,0.003078902,0.008634409,0.003305329,0.004949266,0.006308096,0.001639737,0.1028669],"category_scores_gemma":[0.02218325,0.001950145,0.002545808,0.04034245,0.0006300099,0.00233512,0.002430805,0.003307945,0.05136947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05750899,"about_ca_system_score_gemma":0.129794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949084,"about_ca_topic_score_gemma":0.9927981,"domain_scores_codex":[0.9953621,0.0003629096,0.0005985423,0.0006212321,0.00197356,0.001081641],"domain_scores_gemma":[0.9652457,0.001632687,0.001245946,0.001087337,0.02891268,0.001875635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002768834,0.000006817992,0.001024692,0.0003106048,0.00002561014,0.000005784721,0.00002340503,0.0001085768,0.000006541353,0.0003180758,0.9965148,0.001627354],"study_design_scores_gemma":[0.0002688892,0.00001754112,0.03016805,0.00130746,0.000103914,0.00003225879,0.0005647866,0.0006454502,0.0001542464,0.0007850287,0.9658492,0.0001031911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004425013,0.00004363798,0.00001938369,0.0001161862,0.0000214172,0.00001531338,0.9990084,0.00004648514,0.0006849892],"genre_scores_gemma":[0.0009224783,0.0002784063,0.0003965784,0.0001699888,0.00001894178,0.000179263,0.9946008,0.000103648,0.003329962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1028669,"threshold_uncertainty_score":0.4172589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134701356259454,"score_gpt":0.277194056015364,"score_spread":0.2558470424527694,"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."}}