{"id":"W2120135308","doi":"10.1162/106454601317297022","title":"Comparison of Different Genotype Encodings for Simulated Three-Dimensional Agents","year":2001,"lang":"en","type":"article","venue":"Artificial Life","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Encoding (memory); Computer science; Simple (philosophy); Fitness landscape; Artificial intelligence","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":[0.00005776958,0.0001007955,0.0002199165,0.00004419615,0.00004956184,0.00001189005,0.00007565345,0.00005665069,0.0002083656],"category_scores_gemma":[0.0000439553,0.00009243488,0.00007451924,0.00007604529,0.00001768995,0.00003341352,0.00001162481,0.00005763424,0.00004755453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001913609,"about_ca_system_score_gemma":0.000009125804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001072394,"about_ca_topic_score_gemma":0.00004357689,"domain_scores_codex":[0.9992645,0.00001000846,0.0003137039,0.000101328,0.0001363984,0.000174094],"domain_scores_gemma":[0.9996373,0.00007594949,0.00003949768,0.0001125097,0.00005118897,0.00008354196],"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":[0.0001863504,0.0003269874,0.02090578,0.00004434815,0.0001398052,0.000001956247,0.0002502131,0.9194623,0.03336159,0.004077333,0.003083264,0.01816004],"study_design_scores_gemma":[0.0003921486,0.00006075252,0.007984795,0.00001115674,0.00002518746,3.084562e-7,0.00001562331,0.9834324,0.00561961,0.0009305987,0.001415021,0.0001123784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604449,0.0000721188,0.03803965,0.0001356379,0.0004982143,0.0003366496,0.000005746896,0.0001268307,0.0003402887],"genre_scores_gemma":[0.999524,0.000001642629,0.0001861715,0.00008161848,0.0001190849,0.00001167599,0.00001570712,0.0000176313,0.00004246624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06397009,"threshold_uncertainty_score":0.3769385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472737488980996,"score_gpt":0.2945478479896371,"score_spread":0.2398204730998271,"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."}}