{"id":"W2010085093","doi":"10.1088/1748-3182/7/4/046016","title":"Optimally efficient swimming in hyper-redundant mechanisms: control, design, and energy recovery","year":2012,"lang":"en","type":"article","venue":"Bioinspiration & Biomimetics","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Chongqing University","keywords":"Fish locomotion; Kinematics; Propulsion; Biomimetics; Process (computing); Gait; Robot; Range (aeronautics); Efficient energy use; Computer science; Simulation; Control engineering; Engineering; Control theory (sociology); Control (management); Artificial intelligence; Aerospace engineering; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006604402,0.0002785348,0.0002823919,0.0003329538,0.00009178334,0.00007855154,0.0001204978,0.0002528043,0.00005145566],"category_scores_gemma":[0.00003364776,0.0002632832,0.0000592664,0.0003247019,0.00004226627,0.0001613947,0.0000373525,0.0001190083,0.00004279067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009458677,"about_ca_system_score_gemma":0.00002654954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002158555,"about_ca_topic_score_gemma":0.000005435915,"domain_scores_codex":[0.9984921,0.0001038741,0.0004672448,0.0002379574,0.0002214469,0.0004774372],"domain_scores_gemma":[0.9993865,0.00009331843,0.00007037554,0.0002250728,0.00004387045,0.0001808648],"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":[0.0001047285,0.0001963626,0.00007582895,0.00006594835,0.00005499851,0.000005926473,0.0003036583,0.02021756,0.8898316,0.01789511,0.0002565244,0.07099173],"study_design_scores_gemma":[0.001845373,0.0003959626,0.0003241573,0.00007171791,0.00007969033,0.0000260223,0.00007900579,0.4817419,0.5031658,0.001378243,0.01014399,0.0007481643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04580106,0.002371599,0.9497801,0.0001486323,0.001087083,0.000239947,0.00001260003,0.0001991798,0.000359808],"genre_scores_gemma":[0.8688329,0.0001767825,0.1304973,0.0002142951,0.000108352,0.00003685915,0.00001431789,0.00004953482,0.00006966734],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8230318,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312606314505106,"score_gpt":0.1929260490111295,"score_spread":0.1797999858660785,"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."}}