{"id":"W6926343067","doi":"10.25318/13250008-eng","title":"Canadian Health Measures Survey, Cycle 1 Oral Health: Public Use Microdata File","year":2023,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Public health; Public use; Oral health; Population health; Health data; General partnership; Population; National Health Interview Survey","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":[0.002359304,0.001331797,0.001490137,0.004656228,0.002331056,0.002331597,0.004007712,0.001120624,0.07051232],"category_scores_gemma":[0.01507855,0.001272144,0.001328556,0.01636082,0.0004583284,0.001007636,0.001240106,0.002070595,0.02758863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02712373,"about_ca_system_score_gemma":0.05617498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670451,"about_ca_topic_score_gemma":0.9725387,"domain_scores_codex":[0.9975563,0.000224372,0.0003402915,0.0003158698,0.001181519,0.00038144],"domain_scores_gemma":[0.9882581,0.0007455332,0.000647811,0.000615127,0.009045736,0.00068765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000316538,0.00001334661,0.001442837,0.0002711792,0.00001883256,0.000007768424,0.00002028304,0.00009611803,0.00001034332,0.0004079184,0.9957677,0.001912013],"study_design_scores_gemma":[0.0003646327,0.00001970626,0.07098598,0.0007292453,0.00007945523,0.0000515283,0.0002480866,0.0004573973,0.0001616479,0.0009422243,0.9258915,0.00006860524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008230597,0.00003421724,0.00004194075,0.00006962764,0.00001317378,0.00006977161,0.9987092,0.00003462887,0.0009452404],"genre_scores_gemma":[0.001037539,0.0001622165,0.0006826299,0.0001154576,0.00001150533,0.0005485133,0.9948703,0.00004116386,0.002530742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07051232,"threshold_uncertainty_score":0.2358872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06726842302935478,"score_gpt":0.3366985478283647,"score_spread":0.2694301247990099,"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."}}