{"id":"W2052414252","doi":"10.1111/j.1753-6405.2007.00118.x","title":"Population health and clinical data linkage: the importance of a population registry","year":2007,"lang":"en","type":"article","venue":"Australian and New Zealand Journal of Public Health","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Linkage (software); Record linkage; Population; Medicine; Population health; Environmental health; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02697483,0.0001154412,0.0005284526,0.0001512289,0.0005213164,0.00002182806,0.0002371244,0.0002070686,0.00004014077],"category_scores_gemma":[0.00165058,0.00007427418,0.00003982195,0.0002252407,0.00007318071,0.0004390323,0.00006661288,0.001155788,0.000001661847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221195,"about_ca_system_score_gemma":0.00172518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145727,"about_ca_topic_score_gemma":0.001917691,"domain_scores_codex":[0.9949642,0.0008580579,0.002985867,0.0001722495,0.0004455464,0.0005740299],"domain_scores_gemma":[0.9940683,0.0007372487,0.003178622,0.0003799642,0.0001532462,0.001482625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005254171,0.0000306197,0.7985733,0.0003658859,0.00001422946,0.000001042649,0.001458423,1.722863e-7,1.132757e-7,0.0006906553,0.09272124,0.1060917],"study_design_scores_gemma":[0.001156107,0.0004927479,0.866087,0.0003776378,0.000007643914,0.00003848714,0.001651097,0.00006553659,3.536896e-8,0.0004600957,0.1296095,0.00005406152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589337,0.001056992,0.0009827077,0.2377077,0.000705689,0.0004842143,0.00002556975,0.00001758131,0.00008594438],"genre_scores_gemma":[0.97753,0.004783276,0.001779252,0.01295309,0.001393608,6.995097e-7,0.0002355382,0.00001292935,0.001311601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247546,"threshold_uncertainty_score":0.934899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5424643983136966,"score_gpt":0.5502324743430314,"score_spread":0.007768076029334714,"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."}}