{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022131,0.0007459469,0.0003691824,0.0004033996,0.0002477702,0.0002386673,0.001049838,0.0005181509,0.003107438],"category_scores_gemma":[0.0003544879,0.000304254,0.0003952067,0.0003582716,0.0004296561,0.0006471355,0.0006750462,0.0005598446,0.001475162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541166,"about_ca_system_score_gemma":0.0002010601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009094174,"about_ca_topic_score_gemma":0.0001764496,"domain_scores_codex":[0.999849,0.00001775802,0.000009169297,0.00005132194,0.00005569445,0.00001709281],"domain_scores_gemma":[0.9997888,0.00002845389,0.00008375021,0.00005358234,0.00002114151,0.00002426657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002248168,0.0001160057,0.0008735458,0.0007671774,0.0001030433,0.0005819169,0.0002009357,0.05348739,0.5689635,0.07781269,0.002708331,0.2941605],"study_design_scores_gemma":[0.0004083544,0.005746045,0.006391894,0.0002637002,0.000265665,0.004788037,0.00008849688,0.3170487,0.3829331,0.06127153,0.2205507,0.0002437928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06137163,0.000945159,0.9262997,0.0001182303,0.0001575637,0.0001430252,0.0001126291,0.002171497,0.008680465],"genre_scores_gemma":[0.4391812,0.00105811,0.5453776,0.0001523359,0.0001119668,0.000429817,0.0002078155,0.00008404945,0.01339715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003107438,"threshold_uncertainty_score":0.01039541,"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."}}