{"id":"W3010589507","doi":"","title":"Positional accuracy of geocoding from residential postal codes versus full street addresses.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Statistics Canada","funders":"","keywords":"Geocoding; Geographic coordinate system; Geography; Geographic information system; Sample (material); Latitude; Population; Census; Statistics; Computer science; Cartography; Mathematics; Medicine; Geodesy; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690135,0.0001322315,0.0002678488,0.0000900493,0.00006013321,0.00002541945,0.0001704298,0.00006252527,0.0006277293],"category_scores_gemma":[0.001037804,0.0001300445,0.00009439029,0.0001438514,0.0002141218,0.0002020658,0.0001307632,0.00009941755,0.00005619748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006497806,"about_ca_system_score_gemma":0.0001056838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004684305,"about_ca_topic_score_gemma":0.0005761487,"domain_scores_codex":[0.9985812,0.0000553651,0.000285691,0.0003022273,0.0004481554,0.0003273597],"domain_scores_gemma":[0.9986488,0.0003269401,0.000158896,0.000407604,0.0002403001,0.0002174785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06658532,0.002090628,0.4938999,0.0005272583,0.003666986,0.0008178805,0.0007128265,0.00001291848,0.03614277,0.002373335,0.2094982,0.1836721],"study_design_scores_gemma":[0.003293212,0.0001068415,0.9868559,0.00004637572,0.0001328842,0.000004940635,0.00006163215,0.00002863819,0.006869296,0.0001122438,0.002356666,0.0001313668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907351,0.0002188467,0.00005287759,0.0003491549,0.0006038583,0.0005232522,0.003524453,0.00008859199,0.003903897],"genre_scores_gemma":[0.9967505,0.00001831643,0.0004013784,0.0001151556,0.0009913296,0.0001194292,0.001521779,0.00001963435,0.00006242412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4929561,"threshold_uncertainty_score":0.6873195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863002439946388,"score_gpt":0.2897272809117978,"score_spread":0.2510972565123339,"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."}}