{"id":"W2036014579","doi":"10.2481/dsj.5.178","title":"Geography Markup Language","year":2006,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Galdos Systems (Canada)","funders":"","keywords":"Markup language; XML; Geospatial analysis; Geomatics; Computer science; Document type definition; World Wide Web; Interoperability; Information retrieval; Geography; Document Structure Description; Remote sensing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006307485,0.00006965171,0.00009503196,0.0004394811,0.003037226,0.0007754082,0.001878441,0.00002936925,0.0001748279],"category_scores_gemma":[0.0002550465,0.00005728228,0.00003989557,0.001540107,0.00135599,0.003751356,0.0002978636,0.0001560703,0.00009503751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004793714,"about_ca_system_score_gemma":0.0002771805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408645,"about_ca_topic_score_gemma":0.001336835,"domain_scores_codex":[0.9977407,0.00004683043,0.0002888066,0.0001759214,0.001266714,0.0004809696],"domain_scores_gemma":[0.9989511,0.00003922375,0.0002006184,0.0004102593,0.0002658715,0.0001328984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001101243,0.0001199432,0.6487464,0.00001545308,0.00003834819,0.00006451304,0.02984191,0.00002724829,0.0006315579,0.1048355,0.1887604,0.02690769],"study_design_scores_gemma":[0.0002774777,0.00001788786,0.3053447,0.00002942415,0.00001348316,0.00008390946,0.04944879,0.00009565691,0.000027144,0.002118951,0.6422946,0.0002480375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3803984,0.0009756615,0.001130918,0.003777822,0.002909934,0.0002845026,0.0001382434,0.0001555763,0.610229],"genre_scores_gemma":[0.9967363,0.0001158226,0.001794394,0.000158041,0.0007286178,0.000001595061,0.00001592006,0.000002983444,0.0004463477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6163379,"threshold_uncertainty_score":0.9982607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436389931910291,"score_gpt":0.3337672918235531,"score_spread":0.3094033925044501,"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."}}