{"id":"W6959261658","doi":"10.7939/r38912667","title":"Integrating Approaches to Geographic Variation in Methodologies for Public Health Surveillance","year":2018,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Public health surveillance; Aggregate (composite); Plot (graphics); Aggregate data; Disease surveillance; Strengths and weaknesses; Data aggregator; Statistic; Spatial analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1053426,0.001321489,0.002158809,0.01130107,0.001326181,0.007106276,0.003987022,0.002025508,0.003211851],"category_scores_gemma":[0.2564813,0.001164308,0.003369931,0.01583072,0.008137126,0.004964209,0.007015831,0.003911253,0.0004392565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004909742,"about_ca_system_score_gemma":0.007793538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402652,"about_ca_topic_score_gemma":0.01075277,"domain_scores_codex":[0.8613783,0.1171952,0.004556768,0.006346354,0.009732561,0.000790928],"domain_scores_gemma":[0.7230621,0.2357962,0.01009818,0.02132647,0.009039395,0.0006776036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005373745,0.00008240627,0.0204414,0.001206565,0.001219804,0.0001569557,0.004411973,0.03693861,0.0002760192,0.7219632,0.003021095,0.2102282],"study_design_scores_gemma":[0.00006065919,0.0001248296,0.005611477,0.000767311,0.0001959392,0.0001665257,0.001992561,0.06011897,0.0004700144,0.9082245,0.0221683,0.00009889983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002448053,0.00157248,0.9911471,0.001431989,0.0001428447,0.0002778007,0.0002555362,0.0001548034,0.002569343],"genre_scores_gemma":[0.1202889,0.002752189,0.8726503,0.0007682148,0.0002798561,0.001952968,0.0003864824,0.0001484159,0.0007727912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1053426,"threshold_uncertainty_score":0.5571116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090838316063191,"score_gpt":0.2833601260173382,"score_spread":0.1742762944110191,"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."}}