{"id":"W2005651262","doi":"10.2298/jac0201004p","title":"The man-machine analogy in robotics and neurophysiology","year":2002,"lang":"en","type":"article","venue":"Journal of Automatic Control","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Robotics; Bionics; Control system; Property (philosophy); Cybernetics; Control (management); Controller (irrigation); Robot; Control engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001715559,0.0000935233,0.000283284,0.00009115849,0.00003947821,0.0000302114,0.0001294238,0.00003873714,0.00005280343],"category_scores_gemma":[0.00009495317,0.00006012178,0.0000588504,0.00008240953,0.00003881646,0.00006089934,0.000007750095,0.0002269788,0.00001092763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002400916,"about_ca_system_score_gemma":0.000005203178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001513856,"about_ca_topic_score_gemma":0.000009979902,"domain_scores_codex":[0.9991438,0.00008659635,0.0004540856,0.000046317,0.0001010684,0.0001681665],"domain_scores_gemma":[0.9993446,0.0003523778,0.000102814,0.0001072655,0.0000326332,0.00006029968],"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":[0.00003392639,0.0001210165,0.001516541,0.00007683336,0.0003085758,0.0002578351,0.0004524569,0.7521923,0.003787425,0.001811764,0.001755368,0.237686],"study_design_scores_gemma":[0.001908708,0.000104956,0.01893217,0.00001815236,0.00002894502,0.0001548897,0.00001962382,0.9779225,0.000002570995,0.0003987987,0.000452438,0.00005626346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948534,0.0234036,0.1372361,0.035547,0.003858133,0.001073484,0.000005881694,0.0002906957,0.003731614],"genre_scores_gemma":[0.9989619,0.0004073434,0.0002627643,0.0002399649,0.00007053726,0.000001971443,6.01566e-8,0.00001088099,0.00004459449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376297,"threshold_uncertainty_score":0.2451695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005729662107138826,"score_gpt":0.1877021402428543,"score_spread":0.1819724781357155,"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."}}