{"id":"W4240833016","doi":"10.1007/bf03405034","title":"Development of a Computer Linkage System for a Blood Recipient Notification Program in Nova Scotia","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Nova scotia; Medical record; Record linkage; Data file; Medicine; Computer science; Nova (rocket); Linkage (software); Medical emergency; Database; Geography; Surgery; Environmental health; Engineering; Population; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006836169,0.0004210786,0.0005620209,0.002789069,0.002545582,0.002239519,0.001645659,0.000798768,0.005659814],"category_scores_gemma":[0.01612632,0.0005494014,0.000315091,0.002680084,0.0004726172,0.001102951,0.001375988,0.0007293074,0.001494788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01013075,"about_ca_system_score_gemma":0.02944642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6327652,"about_ca_topic_score_gemma":0.5387512,"domain_scores_codex":[0.996466,0.001045533,0.0004425307,0.0006042214,0.0009285838,0.0005131884],"domain_scores_gemma":[0.9818546,0.005403682,0.001132754,0.0008940354,0.008174109,0.002540769],"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":[0.003474006,0.002890622,0.2936113,0.0006110726,0.0002023243,0.003687078,0.00987861,0.01973929,0.03061334,0.002381453,0.06222776,0.5706832],"study_design_scores_gemma":[0.002321371,0.004381422,0.5555881,0.0007746288,0.0006924894,0.001555212,0.01062203,0.2491556,0.03115965,0.001158535,0.1420508,0.00054026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737769,0.0006332999,0.06611335,0.005087899,0.0004285068,0.01027527,0.006217977,0.0160979,0.02136891],"genre_scores_gemma":[0.8280818,0.000461212,0.147379,0.0009255304,0.0000968907,0.00174618,0.005642462,0.0004352211,0.01523163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3672348,"threshold_uncertainty_score":0.7387949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3800321766638007,"score_gpt":0.4087639461078232,"score_spread":0.02873176944402245,"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."}}