{"id":"W7099249512","doi":"","title":"Evolution of Recurrent Neural Networks to Control Autonomous Life Agents","year":2001,"lang":"en","type":"article","venue":"","topic":"Spider Taxonomy and Behavior Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recurrent neural network; Artificial life; Table (database); Artificial neural network; Task (project management); Autonomous agent; Control (management)","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":[0.00006458565,0.00009809817,0.0001279916,0.00002506888,0.00004441771,0.000005638913,0.00009388868,0.0000650692,0.0000433259],"category_scores_gemma":[0.00003779349,0.00008605415,0.00007266842,0.00006603309,0.00002780105,0.000001683072,0.00006206859,0.00003841678,0.000005664718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165921,"about_ca_system_score_gemma":0.00002143262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005636285,"about_ca_topic_score_gemma":0.00007434871,"domain_scores_codex":[0.999369,0.00002417379,0.0001779143,0.0001918837,0.00005797747,0.0001789992],"domain_scores_gemma":[0.9996309,0.000004538897,0.00004899333,0.0001699029,0.00006038405,0.00008527063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008197902,0.0006486842,0.8181555,0.0000180935,0.0002582754,0.0000104379,0.00007280439,0.0164456,0.04997775,0.0002440372,0.04151491,0.07183418],"study_design_scores_gemma":[0.004375169,0.002949911,0.7896113,0.00003242218,0.0002370266,0.00003545287,0.0005658982,0.02086819,0.01605422,0.00001613936,0.164242,0.001012298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646847,0.0007700557,0.03279433,0.0002388762,0.0003100118,0.0002217014,0.000005000738,0.00001277808,0.0009625175],"genre_scores_gemma":[0.9988453,0.0000440165,0.0001574469,0.0004082758,0.0001869252,0.00003264362,0.00001037565,0.000006135863,0.0003088339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122727,"threshold_uncertainty_score":0.3509186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159784684773613,"score_gpt":0.2678485572086473,"score_spread":0.2462507103609112,"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."}}