{"id":"W2584235061","doi":"","title":"A neuroevolutionary approach to emergent task decomposition","year":2004,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Task (project management); Decomposition; Modular design; Artificial neural network; Artificial intelligence; Scalability; Exploit; Reinforcement learning; Function (biology); Robotics; Distributed computing; Robot; Programming language","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":[0.0008945906,0.0004062682,0.0005317797,0.0007925421,0.00108404,0.001534011,0.001443359,0.00131331,0.005230903],"category_scores_gemma":[0.005662176,0.0004796965,0.0008215389,0.0005448231,0.002364065,0.001762617,0.001783663,0.00155151,0.0002869148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587065,"about_ca_system_score_gemma":0.0009678537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006643359,"about_ca_topic_score_gemma":0.005594865,"domain_scores_codex":[0.9996867,0.0001270196,0.0000135692,0.00008251745,0.00004815184,0.00004198416],"domain_scores_gemma":[0.9989465,0.0006067635,0.00009117307,0.0001128197,0.0001376976,0.0001050573],"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":[0.00002693821,0.00003273814,0.002736264,0.00005064706,0.00008265945,0.0001029268,0.0006370799,0.6233249,0.002419833,0.329589,0.001284608,0.03971229],"study_design_scores_gemma":[0.000007055772,0.00001713359,0.0007368476,0.000009619635,0.00001249064,0.00003612281,0.0001194923,0.7977701,0.0002135214,0.1999689,0.001095168,0.00001348313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426311,0.0004208975,0.8265393,0.002046628,0.00009286634,0.00006297892,0.00013981,0.0002399895,0.02782642],"genre_scores_gemma":[0.8097001,0.0002564274,0.1815441,0.0001831886,0.00005834664,0.0001684231,0.0001317877,0.0001634641,0.00779423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006643359,"threshold_uncertainty_score":0.01749909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933690193298274,"score_gpt":0.2483160237055401,"score_spread":0.2189791217725573,"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."}}