{"id":"W4207070314","doi":"10.1142/s0218127422300014","title":"Meet ANIBOT: The First Biologically-Inspired Animal Robot","year":2022,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Realization (probability); Central pattern generator; Robot; Jump; Computer science; Generator (circuit theory); CpG site; Topology (electrical circuits); Artificial intelligence; Mathematics; Physics; Engineering; Biology; Power (physics); Electrical 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":[0.000139342,0.000296714,0.00022018,0.0002012212,0.0005561596,0.0004851882,0.0005117455,0.0006059218,0.003046295],"category_scores_gemma":[0.0004028362,0.0001551123,0.0002530374,0.0001102233,0.0006089589,0.0005420942,0.0006519691,0.0005941407,0.0007902944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352408,"about_ca_system_score_gemma":0.0004626459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136345,"about_ca_topic_score_gemma":0.001374785,"domain_scores_codex":[0.9999048,0.00001540374,0.000003607177,0.0000194791,0.00003943504,0.0000173176],"domain_scores_gemma":[0.9999087,0.00001763954,0.00000819593,0.000009451711,0.00002871383,0.00002729227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007363468,0.0001941081,0.00194279,0.0007212085,0.0001020719,0.0008017173,0.000713654,0.06543591,0.2553651,0.3524954,0.02261229,0.2988795],"study_design_scores_gemma":[0.0002332333,0.001390613,0.001868051,0.0001650588,0.00008573221,0.0008362939,0.000176746,0.4282903,0.1000369,0.1277125,0.3390906,0.0001138471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1479939,0.002453278,0.7621541,0.002340374,0.001690962,0.0003067319,0.000415807,0.002552732,0.08009205],"genre_scores_gemma":[0.6269008,0.001215835,0.3427217,0.0006494655,0.0001220193,0.0002379434,0.000339602,0.0002158432,0.0275969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003046295,"threshold_uncertainty_score":0.0101909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972795901571593,"score_gpt":0.263207343215518,"score_spread":0.233479384199802,"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."}}