{"id":"W2891521002","doi":"10.23889/ijpds.v3i4.942","title":"Data Linkage Methods in Manitoba","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"","keywords":"Linkage (software); Computer science; Record linkage; Linked data; Data quality; Population; Data mining; Process (computing); Data science; Information retrieval; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02536312,0.0009038812,0.0009333627,0.006377101,0.005594332,0.005449585,0.003780672,0.001681368,0.02316846],"category_scores_gemma":[0.04900607,0.001105955,0.001080271,0.01729794,0.002085079,0.002064469,0.005988513,0.002168541,0.002739722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.024598,"about_ca_system_score_gemma":0.04900077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5125136,"about_ca_topic_score_gemma":0.4808923,"domain_scores_codex":[0.9786962,0.01415171,0.001209785,0.001871499,0.003475344,0.0005954709],"domain_scores_gemma":[0.974067,0.01210997,0.001523993,0.001865719,0.009837057,0.0005961416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001863557,0.000226284,0.02941085,0.001970048,0.0003758078,0.00118799,0.009226262,0.01464496,0.0005983051,0.2708213,0.09965961,0.5716922],"study_design_scores_gemma":[0.00009959214,0.000116857,0.02913004,0.003199402,0.0001468638,0.000692072,0.006241811,0.02963408,0.001049213,0.07578082,0.8537413,0.000167984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05295418,0.06211458,0.549715,0.04088102,0.002299806,0.005566995,0.02048252,0.005380932,0.2606049],"genre_scores_gemma":[0.2138007,0.0285039,0.6286945,0.004747255,0.0004515463,0.006762451,0.01397709,0.0009625852,0.1020999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4874864,"threshold_uncertainty_score":0.9807147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6645466192572466,"score_gpt":0.6439882190382802,"score_spread":0.02055840021896638,"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."}}