{"id":"W4417133642","doi":"10.1162/isal.a.905","title":"COGENT: Co-design of Robots with Generative Flow Networks","year":2025,"lang":"","type":"article","venue":"ALIFE","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Tree traversal; Robot; Task (project management); Graph; Process (computing); Suite; Generator (circuit theory); Sample (material); Design process; Range (aeronautics)","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":[0.001582243,0.001411542,0.0006530274,0.0009957402,0.0005705623,0.0008418483,0.001528958,0.001171399,0.004477443],"category_scores_gemma":[0.003076095,0.0006603046,0.001304033,0.000495386,0.00139496,0.001034919,0.00170798,0.00123438,0.000658538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008837799,"about_ca_system_score_gemma":0.001318833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596056,"about_ca_topic_score_gemma":0.003710315,"domain_scores_codex":[0.999393,0.000187517,0.00002435018,0.0001460261,0.0001901547,0.00005896901],"domain_scores_gemma":[0.9989306,0.0005840838,0.0001088692,0.0002070359,0.0001106332,0.00005877306],"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":[0.00007531821,0.00009682346,0.001196651,0.0001979547,0.00005665583,0.0001863795,0.0001598337,0.8181036,0.008375427,0.03166581,0.002009225,0.1378763],"study_design_scores_gemma":[0.00002166394,0.00006659664,0.0000853695,0.0000179252,0.00001440981,0.00005451464,0.00001667174,0.9760316,0.002540968,0.01762904,0.003513799,0.000007440889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007073784,0.0001122014,0.9894159,0.00008297128,0.00002242284,0.00008118804,0.0000345556,0.001016405,0.002160535],"genre_scores_gemma":[0.2246142,0.0001330083,0.7713134,0.0001527162,0.00002118681,0.0003673869,0.0001977547,0.0003468134,0.00285348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004477443,"threshold_uncertainty_score":0.01497853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933843956013918,"score_gpt":0.2480103746331841,"score_spread":0.228671935073045,"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."}}