{"id":"W2162502118","doi":"10.24908/pceea.v0i0.3994","title":"ROBOTIC MANIPULATORS INSPIRED BY CEPHALOPOD LIMBS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Research Projects Agency; Defense Advanced Research Projects Agency","keywords":"octopus (software); Kinematics; Computer science; Cephalopod; Biomechanics; Inverse kinematics; Artificial intelligence; Robot; Biology; Anatomy; Ecology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009014894,0.0002749389,0.0001810524,0.000241193,0.0002957193,0.0002806893,0.0003471576,0.0003213198,0.00253663],"category_scores_gemma":[0.0002094241,0.0001999219,0.0003258556,0.0001529937,0.0004933218,0.000368505,0.0004329442,0.0003399017,0.0005363748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415566,"about_ca_system_score_gemma":0.000278367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005300993,"about_ca_topic_score_gemma":0.0009561258,"domain_scores_codex":[0.9999558,0.00000742415,0.000002919656,0.000009678558,0.00001836852,0.000005960968],"domain_scores_gemma":[0.9999518,0.00001327799,0.00001222425,0.000008487001,0.000006508159,0.000007565749],"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":[0.0001249468,0.00005071728,0.00104065,0.0004692039,0.00006571121,0.0006586458,0.0004621889,0.2552899,0.3323927,0.2789055,0.003590692,0.1269491],"study_design_scores_gemma":[0.000140889,0.0006903323,0.004708225,0.000261794,0.00008560804,0.001491079,0.0001734167,0.653978,0.04907598,0.1121875,0.1771008,0.0001064262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1050988,0.001733327,0.8527031,0.0004797156,0.0003216465,0.0001346268,0.0001682792,0.0009370578,0.03842359],"genre_scores_gemma":[0.6344556,0.002222426,0.3394466,0.000244123,0.0000780314,0.0002742358,0.000211953,0.000109575,0.02295733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00253663,"threshold_uncertainty_score":0.008485854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845332813605949,"score_gpt":0.1707149840513006,"score_spread":0.1622616559152412,"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."}}