{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007363374,0.000186438,0.0003026651,0.0001269362,0.0000347619,0.0001100582,0.001156876,0.00002892259,0.0001682531],"category_scores_gemma":[0.00001817656,0.0001513536,0.00005941336,0.0003042368,0.00007896703,0.0008036752,0.001634946,0.00009502897,0.0001207821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003139449,"about_ca_system_score_gemma":0.000006147111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401878,"about_ca_topic_score_gemma":0.0004699865,"domain_scores_codex":[0.9982002,0.00015182,0.0004554693,0.0005759475,0.0002744617,0.0003421047],"domain_scores_gemma":[0.9984669,0.00008647107,0.0001011234,0.001239049,0.00003490895,0.00007156109],"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":[0.00005576666,0.000424952,0.003084978,0.0001405301,0.00008060868,0.00002328895,0.0006301193,0.0003157867,0.00006086097,0.02746558,0.004631058,0.9630865],"study_design_scores_gemma":[0.001342935,0.0001683116,0.0276162,0.0001215859,0.00001915317,0.000001115893,0.0001900766,0.9613132,0.00005271583,0.0003087446,0.008530799,0.0003350882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09996691,0.00004328412,0.8860825,0.0003230193,0.0003986077,0.000520832,0.00001053846,0.0001301709,0.0125241],"genre_scores_gemma":[0.9712044,0.000125256,0.02586327,0.0003578137,0.00005209948,0.00002178249,0.00008223998,0.00001229216,0.002280845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9627514,"threshold_uncertainty_score":0.6172019,"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."}}