{"id":"W1991383860","doi":"10.3115/1072228.1072355","title":"Location normalization for information extraction","year":2002,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Research Laboratory","keywords":"Computer science; Normalization (sociology); Ambiguity; Grammar; Visualization; Natural language processing; Information retrieval; Context (archaeology); Artificial intelligence; Geography; Linguistics","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":[0.002250168,0.001259706,0.001321862,0.004441252,0.001423416,0.002591631,0.001376101,0.000889498,0.009554722],"category_scores_gemma":[0.00783268,0.0007264006,0.001248263,0.006110003,0.0008515327,0.004175785,0.002348639,0.001257026,0.008108558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203393,"about_ca_system_score_gemma":0.00199721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528801,"about_ca_topic_score_gemma":0.004041905,"domain_scores_codex":[0.9969716,0.0009657299,0.0004246353,0.0007506107,0.0007853043,0.0001019892],"domain_scores_gemma":[0.996295,0.001299551,0.0003020512,0.001106533,0.0009411627,0.00005576813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001192277,0.00008124513,0.002685596,0.001187715,0.0001652648,0.0006372319,0.0008069314,0.006255283,0.04775597,0.03815553,0.04242223,0.8597277],"study_design_scores_gemma":[0.00008190747,0.0001410746,0.01010214,0.0005765894,0.0003242084,0.00299643,0.00217307,0.2170855,0.1236006,0.2240433,0.4185952,0.0002799557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007965174,0.000634696,0.9643453,0.0004808016,0.0001521522,0.0003041067,0.003439903,0.01739842,0.005279521],"genre_scores_gemma":[0.07919998,0.0006845706,0.9039364,0.0003038158,0.0001050167,0.0004644469,0.009677348,0.002081741,0.003546613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009554722,"threshold_uncertainty_score":0.03196371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427896448314853,"score_gpt":0.2641863184322898,"score_spread":0.2499073539491413,"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."}}