{"id":"W2410022689","doi":"","title":"Statistics Canada plans to use blood and other samples to measure health trends.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Statistics; Health statistics; Environmental health; Computer science; Medicine; Population; Mathematics; Data mining","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":[0.00637453,0.001077036,0.001110547,0.01453778,0.001604899,0.00211405,0.002050893,0.001012356,0.01652728],"category_scores_gemma":[0.02180485,0.0004820535,0.001436067,0.02468498,0.0004050149,0.001096065,0.001026147,0.001398253,0.004380163],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208035,"about_ca_system_score_gemma":0.05806109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745862,"about_ca_topic_score_gemma":0.9687594,"domain_scores_codex":[0.993983,0.001048511,0.0003882732,0.0002826114,0.003198492,0.001099153],"domain_scores_gemma":[0.964072,0.004483802,0.002298075,0.001412922,0.02604737,0.001685897],"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":[0.0002672048,0.0003394469,0.2154013,0.0008460555,0.0004044935,0.00006871665,0.0002252972,0.002260965,0.0005328787,0.008182569,0.6000804,0.1713908],"study_design_scores_gemma":[0.0002787357,0.0002857762,0.381947,0.0003380516,0.0002952487,0.0001154753,0.0008556763,0.008662997,0.005054184,0.003351636,0.5986439,0.0001712895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02534403,0.002502621,0.0166751,0.01726356,0.001606924,0.002552664,0.8653053,0.002356017,0.0663937],"genre_scores_gemma":[0.1444583,0.0109175,0.09792632,0.0129895,0.0009270532,0.003695342,0.5455157,0.0009971577,0.1825732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9879196,"threshold_uncertainty_score":0.08764952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118403714312781,"score_gpt":0.2465484991688686,"score_spread":0.1281447848560877,"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."}}