{"id":"W2582154157","doi":"","title":"Development of a cervical cancer/screening database in Newfoundland and Labrador, Canada: A multi-linkage approach","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Newfoundland and Labrador","funders":"","keywords":"Medicine; Cervical cancer; Cancer registry; Cancer; Family medicine; Rural area; Population; Incidence (geometry); Health care; Database; Gynecology; Demography; Environmental health; Pathology; Internal 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":[0.005717061,0.0005717125,0.0009636713,0.01346783,0.003370128,0.002855802,0.002495035,0.000683778,0.006036037],"category_scores_gemma":[0.01607771,0.0008843573,0.0009806214,0.02067204,0.0004083533,0.001108581,0.002232286,0.0008163945,0.00151938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04177104,"about_ca_system_score_gemma":0.09793647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820462,"about_ca_topic_score_gemma":0.9792525,"domain_scores_codex":[0.9955331,0.0006143677,0.0006823642,0.0009189967,0.001627262,0.0006237736],"domain_scores_gemma":[0.9805243,0.001853645,0.001444086,0.001358375,0.01367354,0.001146179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001154352,0.0008584541,0.4189977,0.002632902,0.001061813,0.001123169,0.00276672,0.01789587,0.00440895,0.007956655,0.2621184,0.279025],"study_design_scores_gemma":[0.0005708956,0.0001894943,0.7439319,0.0008262105,0.000735223,0.0004216033,0.003342673,0.05877133,0.004463797,0.001035764,0.1854005,0.0003106466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1419356,0.0008202508,0.03723552,0.001916803,0.0000712367,0.01260369,0.7863393,0.003627965,0.01544958],"genre_scores_gemma":[0.2198879,0.0009313733,0.1542212,0.000711364,0.00004309223,0.00879619,0.6074135,0.0003400152,0.007655432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04177104,"threshold_uncertainty_score":0.3030715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300801093636402,"score_gpt":0.4146616620656456,"score_spread":0.2845815527020055,"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."}}