{"id":"W2124765550","doi":"10.1109/oceans.1993.326113","title":"Simplified dynamics and stochastic controller for underwater robots","year":2002,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Controller (irrigation); Computer science; Robot; Computation; Control theory (sociology); Underwater; Variable (mathematics); Operator (biology); Drag; Adaptive control; Dynamical systems theory; Control engineering; Artificial intelligence; Control (management); Mathematics; Engineering; Algorithm; Aerospace engineering","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":[0.0001402581,0.0005011869,0.0005192824,0.0003153518,0.0002511669,0.0005158967,0.0005846242,0.0005148537,0.00251304],"category_scores_gemma":[0.0005648373,0.0002097711,0.0004205536,0.0002359339,0.0004488157,0.0005678366,0.0006455791,0.0006476059,0.0005877751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798753,"about_ca_system_score_gemma":0.0005005727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005611551,"about_ca_topic_score_gemma":0.003484068,"domain_scores_codex":[0.99979,0.0000372154,0.000009762865,0.00003699477,0.0001118528,0.00001418168],"domain_scores_gemma":[0.9999019,0.00002193359,0.0000258357,0.00001501628,0.00002712304,0.000008048359],"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":[0.00002600563,0.00001259139,0.0001584742,0.00006845601,0.00001787319,0.0001223516,0.00004492098,0.8695745,0.005291945,0.1057673,0.00164757,0.01726806],"study_design_scores_gemma":[0.000004957999,0.00001473365,0.0001052028,0.000003932775,0.000002862932,0.00001687128,0.000004018543,0.9818616,0.000239219,0.01384669,0.003894915,0.000005096276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008716144,0.0004725146,0.9824268,0.0002254199,0.0001344384,0.00002581135,0.0001416171,0.000352994,0.007504362],"genre_scores_gemma":[0.8434655,0.002028697,0.124748,0.0002975174,0.0003144086,0.0003915278,0.0007024371,0.0001515032,0.02790032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005611551,"threshold_uncertainty_score":0.01115775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402258553262498,"score_gpt":0.2068594898366936,"score_spread":0.1828369043040687,"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."}}