{"id":"W2100130157","doi":"10.1109/iecon.2007.4460410","title":"Opportunistic Communication for eNetworks Cyberengineering","year":2007,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Wireless sensor network; Context (archaeology); Ubiquitous computing; Interdependence; Architecture; Wireless; Proof of concept; Code (set theory); Distributed computing; Software engineering; Human–computer interaction; Computer network; Telecommunications","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":[0.0008050374,0.0003240674,0.0001957253,0.0002380725,0.0007484198,0.00132598,0.0007000573,0.000787221,0.003449322],"category_scores_gemma":[0.002099194,0.0001464087,0.0001835033,0.000163537,0.001213885,0.002245061,0.002034423,0.001008762,0.0003059235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158046,"about_ca_system_score_gemma":0.0008606091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008120203,"about_ca_topic_score_gemma":0.00116529,"domain_scores_codex":[0.9996493,0.0001398909,0.00001532205,0.00005851211,0.0001030932,0.00003390234],"domain_scores_gemma":[0.998818,0.0006046036,0.00009958445,0.0002732975,0.000108226,0.00009628227],"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":[0.00004338112,0.00003561243,0.0004567934,0.00007651094,0.000010998,0.0001776688,0.0002747503,0.0375068,0.004805645,0.9026154,0.002338204,0.05165824],"study_design_scores_gemma":[0.00003263832,0.00008836476,0.0003165372,0.00005720725,0.00002098705,0.0002789479,0.0002552832,0.2837388,0.004410725,0.6272775,0.08349889,0.00002408578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03487681,0.0006664883,0.9161988,0.002632465,0.0002020467,0.000070673,0.00003892927,0.0004213018,0.04489256],"genre_scores_gemma":[0.814233,0.0006669451,0.167745,0.0004237889,0.0001227365,0.0002231388,0.00004697028,0.00006561846,0.01647281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003449322,"threshold_uncertainty_score":0.0115391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997443963029337,"score_gpt":0.2550144520488549,"score_spread":0.2350400124185615,"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."}}