{"id":"W3151203259","doi":"","title":"Learning from Fish： Kinematics and Experimental Hydrodynamics for Roboticists","year":2006,"lang":"en","type":"article","venue":"国际自动化与计算杂志","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Biomechanics; Fish <Actinopterygii>; Engineering; Anatomy; Medicine; Biology; Physics; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004626176,0.00009841994,0.0001279367,0.00002551795,0.00007213007,0.00006353529,0.00009651561,0.00005334019,0.00001261947],"category_scores_gemma":[0.000001097533,0.0001008425,0.00003085957,0.00003552247,0.00001733391,0.00006031437,0.00003146373,0.00007465798,0.000007084158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003044197,"about_ca_system_score_gemma":0.00000237541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009406619,"about_ca_topic_score_gemma":0.00003770986,"domain_scores_codex":[0.9995086,0.00001366051,0.0001843639,0.00009519019,0.00006751245,0.0001307363],"domain_scores_gemma":[0.9997256,0.00005406304,0.00002746791,0.0001494853,0.00001347804,0.00002988241],"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":[0.00002241938,0.0001423507,0.005244355,0.0002059909,0.0001366214,0.000003993662,0.003119888,0.7065662,0.2761044,0.001973756,0.002687569,0.003792532],"study_design_scores_gemma":[0.0006070943,0.00004134196,0.00143409,0.0000331962,0.00001489263,0.000004552413,0.0004914988,0.9573528,0.0259594,0.0007416278,0.01307504,0.0002444609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318169,0.0004272491,0.06539049,0.00006441129,0.00006666911,0.0001687807,0.00001042247,0.0002265593,0.001828536],"genre_scores_gemma":[0.9910819,0.000008677149,0.008388444,0.00001872154,0.00009333531,0.00003114238,0.00009885957,0.00003033408,0.0002485934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2507867,"threshold_uncertainty_score":0.411224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085986726559297,"score_gpt":0.2076214568112468,"score_spread":0.1967615895456538,"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."}}