{"id":"W2889680530","doi":"10.23889/ijpds.v3i4.740","title":"Where it’s at - linking data geographically.","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Geographic information system; Geospatial analysis; Data science; Presentation (obstetrics); Location; Scale (ratio); Geography; Computer science; Data mining; Cartography; Medicine","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":[0.02188178,0.0009028328,0.000777894,0.003566367,0.002194907,0.01080648,0.002623449,0.00299003,0.0841807],"category_scores_gemma":[0.1017779,0.0008519186,0.001010163,0.006636566,0.002845849,0.01556931,0.007171831,0.00523406,0.02690891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969452,"about_ca_system_score_gemma":0.006355306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005451524,"about_ca_topic_score_gemma":0.004358728,"domain_scores_codex":[0.9764474,0.01365932,0.001766699,0.002225752,0.005317496,0.000583261],"domain_scores_gemma":[0.9523755,0.02344348,0.004343993,0.008081818,0.01022698,0.001528278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009703852,0.00004450215,0.003483822,0.002009077,0.00005908534,0.0001973076,0.003753153,0.0006478914,0.0006174015,0.1651537,0.5092315,0.3147056],"study_design_scores_gemma":[0.000009441873,0.00002328397,0.00088597,0.001831037,0.00001850915,0.0001967766,0.001305614,0.0004245012,0.0004710636,0.03876394,0.9560305,0.00003937492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.006498849,0.02027438,0.3502941,0.3949048,0.02408494,0.001725256,0.03017385,0.009203412,0.1628404],"genre_scores_gemma":[0.08427893,0.03825335,0.6206536,0.09140664,0.01316316,0.002899778,0.02421437,0.008797209,0.116333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0841807,"threshold_uncertainty_score":0.2816125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006925906616767,"score_gpt":0.4335495517019674,"score_spread":0.3328569610402907,"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."}}