{"id":"W1667240411","doi":"10.1109/mspec.2006.1638043","title":"Gone swimmin' [seagoing robots]","year":2006,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hexapod; Robot; Aeronautics; Marine engineering; Underwater; Computer science; Engineering; Simulation; Artificial intelligence; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002027104,0.0006986347,0.0002552066,0.0003602911,0.0004609301,0.0004858447,0.0007623193,0.000526955,0.01377131],"category_scores_gemma":[0.0003016686,0.0002225685,0.0002651484,0.0003369575,0.0005273595,0.0007384676,0.00105986,0.000575659,0.004366924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294931,"about_ca_system_score_gemma":0.0003283879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008130164,"about_ca_topic_score_gemma":0.002538613,"domain_scores_codex":[0.9998772,0.00001670638,0.000003933422,0.00002195921,0.00006371494,0.00001642957],"domain_scores_gemma":[0.9999216,0.00001074915,0.000006898404,0.00001690321,0.0000218065,0.00002210892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002120998,0.00008726783,0.001177189,0.0004367638,0.00002592006,0.0003932434,0.000615904,0.004674517,0.03178246,0.03572173,0.09879206,0.8260809],"study_design_scores_gemma":[0.00003232852,0.0002421621,0.0009707634,0.00009172445,0.00001386268,0.000615313,0.00009340279,0.006899551,0.009218049,0.004343306,0.9774398,0.00003976688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03637112,0.003479312,0.673674,0.001153037,0.001518423,0.0005532189,0.001751607,0.02994093,0.2515583],"genre_scores_gemma":[0.1481182,0.002921577,0.6008338,0.001222613,0.0001023555,0.000494822,0.003790361,0.00157827,0.240938],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01377131,"threshold_uncertainty_score":0.04606968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005743695135750132,"score_gpt":0.181424219169415,"score_spread":0.1756805240336648,"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."}}