{"id":"W7100737388","doi":"","title":"BAKILLAH MOHAMED REAL TIME SEMANTIC INTEROPERABILITY IN AD HOC NETWORKS OF GEOSPATIAL DATABASES: DISASTER MANAGEMENT CONTEXT","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Context (archaeology); Geospatial analysis; Semantics (computer science); Emergency management; Semantic interoperability","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":[0.003502094,0.000320587,0.0005821424,0.001188024,0.001647799,0.003848301,0.001142755,0.001558986,0.003018767],"category_scores_gemma":[0.007702208,0.0003104708,0.0003546696,0.0026983,0.001677462,0.006995301,0.002380741,0.001302308,0.000750594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163978,"about_ca_system_score_gemma":0.002235749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503923,"about_ca_topic_score_gemma":0.006719322,"domain_scores_codex":[0.9977942,0.0006600021,0.0002070834,0.000321911,0.0008099574,0.0002069777],"domain_scores_gemma":[0.9948568,0.002340683,0.0003625995,0.0006730873,0.001557342,0.0002095717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001056945,0.0003119279,0.0109236,0.0009915569,0.0001524367,0.003215262,0.00579781,0.02890003,0.0137535,0.598132,0.04560942,0.2911555],"study_design_scores_gemma":[0.0001596431,0.0002754083,0.01000188,0.0004675497,0.0001660919,0.004272689,0.01245108,0.1469965,0.02360656,0.2633764,0.5379549,0.0002713622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2753431,0.0457021,0.4764096,0.1000279,0.004981498,0.0004498906,0.0008457758,0.0009340771,0.09530599],"genre_scores_gemma":[0.8667777,0.0199171,0.07834905,0.002756999,0.001195355,0.0001264854,0.001051598,0.00008719627,0.02973849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01503923,"threshold_uncertainty_score":0.02990341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009913733190089067,"score_gpt":0.2281806201497229,"score_spread":0.2182668869596338,"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."}}