{"id":"W2136141764","doi":"10.1109/icsmc.2007.4414087","title":"Building blocks for adaptive modular sensing systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Computer science; Self-reconfiguring modular robot; Data exchange; Scheme (mathematics); Embedded system; Set (abstract data type); Computer architecture; Representation (politics); Interface (matter); Distributed computing; Architecture; Software; Robotics; Robot; Artificial intelligence; Mobile robot; Operating system; Database; Programming language; Robot control","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":[0.0002972391,0.0001150901,0.0001326242,0.00006618923,0.0000565483,0.00003338926,0.00007154449,0.00006759932,0.00001007774],"category_scores_gemma":[0.00001371055,0.000106407,0.00005017232,0.00008134414,0.00001102912,0.00005498328,0.00001148523,0.00007295293,0.000007987652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000051943,"about_ca_system_score_gemma":0.000003858522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005497122,"about_ca_topic_score_gemma":0.00001210574,"domain_scores_codex":[0.9992591,0.000003839696,0.0001958524,0.00013899,0.00009916277,0.0003031234],"domain_scores_gemma":[0.999645,0.00006736125,0.0000147293,0.0001473758,0.00005641215,0.00006911356],"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":[0.000009707393,0.000006220506,0.00001339631,0.00005994019,0.00006121729,0.00001574787,0.0001461593,0.8816425,0.03407327,0.04087562,0.0006597146,0.0424365],"study_design_scores_gemma":[0.0000692951,0.00002148427,0.00001382194,0.00003281788,0.000008353431,0.00001593141,0.0001506517,0.9289668,0.06438138,0.0004911713,0.005677897,0.0001704299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03506628,0.0003700712,0.9574975,0.000005609047,0.0006191246,0.0002366685,0.000001942272,0.0002759828,0.005926871],"genre_scores_gemma":[0.9194512,0.000006504642,0.07995883,0.00001663826,0.0001899622,0.000002512287,9.657376e-7,0.00002890528,0.0003444235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.884385,"threshold_uncertainty_score":0.4339153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307362011982157,"score_gpt":0.2455814915024559,"score_spread":0.2225078713826343,"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."}}