{"id":"W2069086951","doi":"10.1109/icsdm.2011.5969046","title":"Thematic data extraction from Web for GIS and applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geospatial analysis; Computer science; Geospatial PDF; Web Coverage Service; World Wide Web; Web mapping; Information retrieval; Web page; Thematic map; Data Web; Geospatial metadata; Geography; Meta Data Services; Metadata; Remote sensing; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195297,0.00003639074,0.00005502194,0.00002761147,0.00006083569,0.00005911106,0.0005762873,0.00001497098,0.00003928109],"category_scores_gemma":[0.00001550976,0.00002847839,0.00001062889,0.00008382587,0.00001124762,0.000457986,0.000179768,0.00001886075,0.00003098406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002036146,"about_ca_system_score_gemma":0.00001106177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367178,"about_ca_topic_score_gemma":0.00005011136,"domain_scores_codex":[0.9995773,0.000007053273,0.00007891817,0.0002356466,0.00004448433,0.00005654338],"domain_scores_gemma":[0.9989658,0.00008648673,0.00003370248,0.0008713863,0.00001413818,0.00002851379],"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":[0.000003074682,0.0001982261,0.001017725,0.0000260004,0.000129591,7.931203e-7,0.0008275924,8.977749e-7,0.003343997,0.1165338,0.02494935,0.8529689],"study_design_scores_gemma":[0.0003090498,0.00003276949,0.001978142,0.00001575449,0.0001171075,0.000005513351,0.0004488033,0.9025755,0.001703261,0.03139631,0.06117072,0.0002470781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001411512,0.0000382486,0.9948943,0.0001421285,0.00001675021,0.00006946486,0.0000618514,0.00006023758,0.003305538],"genre_scores_gemma":[0.2908094,0.0000207657,0.70843,0.00008479354,0.00005086768,0.00004185212,0.000124641,0.000003078265,0.0004346172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9025746,"threshold_uncertainty_score":0.1161315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301056248312555,"score_gpt":0.3067918044317426,"score_spread":0.1766861796004871,"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."}}