{"id":"W3099862276","doi":"10.2196/23379","title":"Starter Kit for Geotagging and Geovisualization in Health Care: Resource Paper","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotagging; Geospatial analysis; Resource (disambiguation); Computer science; Nanolaser; Health care; Health geography; Geovisualization; Geographic information system; Geography; Data science; World Wide Web; Visualization; Cartography; Data mining; Health policy; International health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008349941,0.000102337,0.0002582018,0.0001776073,0.0001433365,0.00004204539,0.00008880974,0.00004415282,0.00006326859],"category_scores_gemma":[0.0002948402,0.00009084959,0.00003492521,0.0004475669,0.0001028869,0.0002892897,0.0001269698,0.0002857999,0.0000314651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193859,"about_ca_system_score_gemma":0.0002071266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004859765,"about_ca_topic_score_gemma":0.00003368806,"domain_scores_codex":[0.998188,0.0002728699,0.0003091265,0.0002672005,0.0004858056,0.0004770297],"domain_scores_gemma":[0.9990177,0.0002036169,0.00005843085,0.0001843489,0.0002213008,0.0003145714],"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":[0.006692168,0.0006538572,0.06943978,0.02073708,0.0001812843,0.00008381388,0.3336003,0.00008189449,0.001704512,0.004951694,0.3744629,0.1874107],"study_design_scores_gemma":[0.005379061,0.001997545,0.1234247,0.0005118575,0.000004973384,0.000005882406,0.01639398,0.01071602,0.0001925287,0.0001442428,0.8409954,0.0002338175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169351,0.003910227,0.003110668,0.06030178,0.00006478087,0.008245331,0.00100709,0.0002815952,0.006143348],"genre_scores_gemma":[0.9959245,0.00008751081,0.0002209796,0.00276605,0.00009709661,0.0002297032,0.0005648746,0.00002567671,0.00008365647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4665324,"threshold_uncertainty_score":0.3704739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959380307462876,"score_gpt":0.4365722843399681,"score_spread":0.3769784812653393,"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."}}