{"id":"W1987640796","doi":"10.1109/sensorcomm.2010.111","title":"A Knowledge-Based Multi-agent Geo-simulation Framework: Application to Intelligent Sensor Web Deployment","year":2010,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Software deployment; Computer science; Geographic information system; Sensor web; Wireless sensor network; Virtual machine; Distributed computing; Data science; Software engineering; Computer network; Key distribution in wireless sensor networks; Wireless; Remote sensing; Geography","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":[0.001297352,0.0005236728,0.0007366629,0.000600494,0.0009737674,0.001599329,0.001848795,0.001501039,0.002338818],"category_scores_gemma":[0.002355336,0.0004296721,0.0007804445,0.0006771959,0.001282215,0.001555625,0.001636142,0.001160742,0.0003207658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069012,"about_ca_system_score_gemma":0.001275458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146891,"about_ca_topic_score_gemma":0.008625997,"domain_scores_codex":[0.9996407,0.0001553997,0.00002676234,0.00004795486,0.00009540528,0.00003365895],"domain_scores_gemma":[0.999317,0.0003583209,0.0000760465,0.00007321471,0.00009110371,0.00008425932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001994485,0.00003368787,0.0002580921,0.00003089424,0.00001824406,0.0001069355,0.000109687,0.9488668,0.0007263449,0.03951158,0.0004418533,0.009875802],"study_design_scores_gemma":[0.00000594935,0.000006221146,0.00003031755,0.000004615366,0.000003044456,0.00001446217,0.00001361934,0.9932197,0.0001499585,0.005479007,0.00106814,0.00000497323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009135435,0.0001445389,0.9863713,0.0003117675,0.00003201441,0.0000667987,0.00005992991,0.0005987138,0.003279397],"genre_scores_gemma":[0.4886599,0.0005511008,0.5082015,0.0001135997,0.00005407186,0.0002862925,0.0001631467,0.0001307425,0.001839679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01146891,"threshold_uncertainty_score":0.02280432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852576871984105,"score_gpt":0.3247260387387352,"score_spread":0.2862002700188942,"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."}}