{"id":"W2533888899","doi":"10.1145/2983323.2983795","title":"Geotagging Named Entities in News and Online Documents","year":2016,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Geotagging; Focus (optics); Information retrieval; Set (abstract data type); Web page; Domain (mathematical analysis); World Wide Web; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001373517,0.000356889,0.0005424393,0.007599678,0.0008326073,0.002380898,0.0008113523,0.001465668,0.000815451],"category_scores_gemma":[0.00891245,0.0004526456,0.0004538924,0.008655402,0.0008351285,0.005206974,0.001747506,0.0009130691,0.0008585172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007656563,"about_ca_system_score_gemma":0.0005018651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006649164,"about_ca_topic_score_gemma":0.0151971,"domain_scores_codex":[0.9986537,0.0003774677,0.0001366998,0.0003954747,0.0003173448,0.0001193451],"domain_scores_gemma":[0.9927637,0.004104619,0.001428636,0.0008540069,0.0006903287,0.0001586881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001063992,0.0005470806,0.2088769,0.001485317,0.0003522503,0.003764482,0.01165367,0.05341304,0.04979267,0.05457054,0.01476888,0.5997112],"study_design_scores_gemma":[0.00007444317,0.0002695761,0.2187155,0.0002859718,0.0002885908,0.004134673,0.009090272,0.5860927,0.03183785,0.07156989,0.07744983,0.0001907132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735246,0.003918931,0.3015161,0.001653398,0.00026997,0.0001948294,0.006604838,0.001793312,0.01052411],"genre_scores_gemma":[0.8926777,0.001245705,0.09616675,0.0001447586,0.0003205887,0.00006044924,0.005633409,0.0001147531,0.003635739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007599678,"threshold_uncertainty_score":0.01322091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745779181614839,"score_gpt":0.2989316307157368,"score_spread":0.2814738388995884,"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."}}