{"id":"W1551621452","doi":"10.1007/bf03405313","title":"Using Data Linkage to Identify First Nations Manitobans: Technical, Ethical, and Political Issues","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Census and Population Estimation","field":"Mathematics","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"Canadian Institutes of Health Research","keywords":"Record linkage; Population; Linkage (software); Medicine; Cancer registry; Metis; Geography; Demography; Gerontology; Database; Environmental health; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567799,0.00008759135,0.0002134745,0.0005289426,0.0004802039,0.0002056824,0.000286685,0.0001390548,0.0001129454],"category_scores_gemma":[0.006511513,0.00008508877,0.00002698103,0.0003033845,0.00006631126,0.0003798152,0.00003517185,0.000428271,0.000007401376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930871,"about_ca_system_score_gemma":0.002329503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008249604,"about_ca_topic_score_gemma":0.4191162,"domain_scores_codex":[0.9983994,0.0001355191,0.0006382545,0.0001330204,0.0002396088,0.0004541512],"domain_scores_gemma":[0.9968919,0.0003687418,0.0002080675,0.0003083337,0.0002838191,0.001939197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001652176,0.00006330686,0.007071252,0.0002356591,0.00003059633,0.00001930684,0.001589525,0.0000537536,0.00001126384,0.8693855,0.1125096,0.00902863],"study_design_scores_gemma":[0.0004005166,0.0001142546,0.03279856,0.0004338837,0.0000319351,0.0006266058,0.0007495288,0.004326752,0.000002741977,0.01873363,0.9415336,0.0002479914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1337028,0.0007132646,0.07065722,0.7930886,0.0003496871,0.0003893653,0.0002488066,0.00003231067,0.0008179517],"genre_scores_gemma":[0.8932385,0.00003873379,0.1018338,0.004257066,0.0005623223,8.38561e-7,0.00002063636,0.0000166983,0.00003135776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8506519,"threshold_uncertainty_score":0.9983546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3668122836441599,"score_gpt":0.4899932972303239,"score_spread":0.1231810135861641,"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."}}