{"id":"W2138094315","doi":"10.1109/icma.2007.4303508","title":"Modular Robot Manipulators with Preloadable Modules","year":2007,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Modular design; Payload (computing); Robot; Flexibility (engineering); Computer science; Control engineering; Self-reconfiguring modular robot; Torque; Mechanism (biology); Embedded system; Robot control; Distributed computing; Engineering; Mobile robot; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371498,0.0001550338,0.0001291902,0.00006960122,0.00004644325,0.00002887731,0.0001397759,0.00006309585,0.0002596835],"category_scores_gemma":[0.00000304158,0.0001179769,0.00003050949,0.0001506288,0.00002295087,0.0001233163,0.00001618298,0.0001079671,0.0001059762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003651336,"about_ca_system_score_gemma":0.000004243524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006783407,"about_ca_topic_score_gemma":0.0001125664,"domain_scores_codex":[0.9991383,0.000003509655,0.0001683544,0.000167894,0.0001787134,0.0003432113],"domain_scores_gemma":[0.9995615,0.00001326403,0.00001176343,0.000278499,0.00002914632,0.0001058398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001048372,0.00002218558,0.001053715,0.00003773893,0.00005235171,0.00004195471,0.00009453759,0.9655258,0.01233556,0.007564062,0.0004296136,0.01283196],"study_design_scores_gemma":[0.0003143911,0.0001331464,0.02091843,0.00005952396,0.00002876888,0.00007279791,0.000198284,0.4275512,0.538092,0.0009656427,0.01077915,0.0008866758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1975359,0.000218693,0.7807679,0.000009989791,0.0001267613,0.0001046835,6.647522e-7,0.0003974531,0.02083805],"genre_scores_gemma":[0.9756422,0.00002717274,0.02279743,0.0000341852,0.00005513163,0.000004196416,0.000003153102,0.00004043482,0.001396085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7781063,"threshold_uncertainty_score":0.4810957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141319449503522,"score_gpt":0.1886447412797609,"score_spread":0.1805034218302574,"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."}}