{"id":"W2042149992","doi":"10.5194/isprsarchives-xxxix-b4-421-2012","title":"A HYBRID PULL-PUSH SYSTEM FOR NEAR REAL-TIME NOTIFICATIONS ON SENSOR WEB","year":2012,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Canarie; Microsoft Research","keywords":"Sensor web; Computer science; Web service; Publication; Web mapping; Wireless sensor network; Geospatial analysis; World Wide Web; Data Web; Database; Computer network; Key distribution in wireless sensor networks; Telecommunications; Wireless; Remote sensing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002192971,0.001030253,0.001483985,0.001678356,0.0015014,0.002264128,0.002423285,0.001794428,0.005461768],"category_scores_gemma":[0.003026091,0.0006471465,0.0007653036,0.0007804028,0.000412181,0.003546158,0.003118426,0.001310449,0.002818545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108474,"about_ca_system_score_gemma":0.0009680465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626963,"about_ca_topic_score_gemma":0.001173065,"domain_scores_codex":[0.9983537,0.0002490642,0.000239517,0.000327843,0.0006580975,0.0001716709],"domain_scores_gemma":[0.9970438,0.0006220734,0.0001630977,0.0007217416,0.0008956046,0.0005537919],"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":[0.006527745,0.003189611,0.02625578,0.001797588,0.000699382,0.00777199,0.003005594,0.01163074,0.368866,0.01082845,0.05508812,0.504339],"study_design_scores_gemma":[0.0007505678,0.00134434,0.01015682,0.0001638339,0.0005685684,0.002549727,0.0009723947,0.7107875,0.2009341,0.007081487,0.06414425,0.0005464259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1628412,0.001237613,0.7158057,0.001110746,0.0009480825,0.001495718,0.0008478324,0.1051866,0.01052647],"genre_scores_gemma":[0.8198643,0.000437003,0.1582877,0.0009442533,0.0003115428,0.0007016941,0.00184278,0.001282085,0.0163287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005461768,"threshold_uncertainty_score":0.01827151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967059510674015,"score_gpt":0.2541133945000572,"score_spread":0.2344427993933171,"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."}}