{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004030675,0.0005638542,0.0004104845,0.0005121502,0.0005278242,0.000867225,0.0009121982,0.0006852605,0.005017688],"category_scores_gemma":[0.0009202361,0.000464926,0.0006091276,0.0002647366,0.0009038562,0.001184651,0.001225455,0.0009768626,0.00205168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036041,"about_ca_system_score_gemma":0.0003931273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102116,"about_ca_topic_score_gemma":0.0004144641,"domain_scores_codex":[0.9996276,0.00006623562,0.00002365288,0.00007253237,0.0001641671,0.00004577894],"domain_scores_gemma":[0.9996778,0.0001037511,0.00004999811,0.00007296339,0.0000615934,0.00003387842],"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":[0.00007032263,0.00007319799,0.0004498789,0.0003221959,0.00006538095,0.0003229188,0.0003904907,0.1284366,0.1071683,0.6579002,0.002715371,0.1020852],"study_design_scores_gemma":[0.0001044858,0.0004132485,0.0006363418,0.0001407088,0.00008957104,0.0005296599,0.0001008971,0.556853,0.06515048,0.2592024,0.1166914,0.0000879311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0142373,0.0003318843,0.9737828,0.0001439494,0.00007394341,0.0001015783,0.00005331641,0.001122531,0.01015275],"genre_scores_gemma":[0.3852961,0.0006990669,0.6051917,0.0001661954,0.00008106024,0.0005909086,0.0002394303,0.0002487844,0.007486654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005017688,"threshold_uncertainty_score":0.01678586,"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."}}