{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707585,0.0008562155,0.0007303398,0.01049269,0.0008783265,0.00199899,0.0007686031,0.0007073868,0.006266858],"category_scores_gemma":[0.003304102,0.0004595431,0.001475261,0.01152203,0.0004392635,0.00227912,0.001510052,0.0009725898,0.005585734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006569612,"about_ca_system_score_gemma":0.001537599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315782,"about_ca_topic_score_gemma":0.006112072,"domain_scores_codex":[0.9993624,0.00009412829,0.0000787055,0.0001129014,0.0002918569,0.00005990638],"domain_scores_gemma":[0.9988378,0.0002792651,0.00008819192,0.0002945512,0.0004542154,0.00004600398],"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":[0.0001941034,0.0001956509,0.009633449,0.001743702,0.0001525339,0.001587155,0.001404112,0.009793589,0.03627044,0.02534769,0.0721283,0.8415493],"study_design_scores_gemma":[0.00005902525,0.0001209712,0.02511635,0.0005264416,0.0002568088,0.002927973,0.00426629,0.1816788,0.08351035,0.08064225,0.6207411,0.0001536459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04015806,0.002171755,0.8550136,0.001169231,0.0003980744,0.000987832,0.05314933,0.0215592,0.02539292],"genre_scores_gemma":[0.1235338,0.002183762,0.7946872,0.0001860522,0.0001381853,0.0006533143,0.07052,0.001240504,0.006857323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01049269,"threshold_uncertainty_score":0.02096474,"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."}}