{"id":"W2152212928","doi":"10.3390/s100807514","title":"A Software Architecture for Adaptive Modular Sensing Systems","year":2010,"lang":"en","type":"article","venue":"Sensors","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Computer science; Software; Embedded system; Middleware (distributed applications); Kernel (algebra); Robotics; Computer architecture; Key (lock); Simple (philosophy); Representation (politics); Computer hardware; Distributed computing; Artificial intelligence; Robot; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002476761,0.0002398378,0.0002565933,0.0001413841,0.0002274252,0.0001779688,0.0005597422,0.0001897104,0.000001286685],"category_scores_gemma":[0.0001407829,0.0002189836,0.0001344453,0.0003259789,0.00008175968,0.00009483303,0.0001277937,0.0004149322,0.00001758428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002766272,"about_ca_system_score_gemma":0.00004169907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005365243,"about_ca_topic_score_gemma":0.00006311415,"domain_scores_codex":[0.9982244,0.00007862726,0.0002376003,0.0006030783,0.0003078275,0.0005484562],"domain_scores_gemma":[0.9983018,0.0003758404,0.0001246355,0.0008464172,0.0001950373,0.0001562906],"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":[0.00001208909,0.00001902769,0.00001222162,0.00001581935,0.00002383539,0.00002959333,0.0004260868,0.9617577,0.003936584,0.0178616,0.0002462291,0.01565923],"study_design_scores_gemma":[0.0002818406,0.00006368063,0.0000469472,0.0000391992,0.000008817618,0.0001174824,0.00004793827,0.9883913,0.001974846,0.0008497718,0.007863967,0.0003141684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2461705,0.00005265518,0.7506573,0.0002165855,0.001887878,0.000310016,0.000006379425,0.0004420787,0.0002567004],"genre_scores_gemma":[0.6613851,0.000001256668,0.3377146,0.0001007873,0.00038373,0.000007495146,0.000004258189,0.0000327691,0.0003700043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4152146,"threshold_uncertainty_score":0.8929891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009965094354192086,"score_gpt":0.2123253628496091,"score_spread":0.202360268495417,"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."}}