{"id":"W4255296308","doi":"10.1007/978-0-85729-345-9_30","title":"Agent-based Support within an Interactive Evolutionary Design System","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Preference; Computer science; Function (biology); Human–computer interaction; Mathematics; Evolutionary biology; Biology","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":[0.0006867746,0.0004079739,0.0002683127,0.000402113,0.0005620142,0.001788838,0.001127498,0.0009408278,0.01023946],"category_scores_gemma":[0.001477297,0.0004259229,0.0003524468,0.0003743134,0.0005322876,0.001483571,0.001327783,0.0007651706,0.001348932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066357,"about_ca_system_score_gemma":0.0003369854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004459535,"about_ca_topic_score_gemma":0.0006760925,"domain_scores_codex":[0.9996768,0.0001215785,0.00001575033,0.00003548428,0.0001281396,0.00002231644],"domain_scores_gemma":[0.9995758,0.0002579271,0.00001432571,0.00008238242,0.000034994,0.0000345661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001921717,0.0002255744,0.0006964011,0.0002229318,0.00006277234,0.0006812778,0.00266795,0.07339128,0.03622383,0.4549776,0.009689122,0.4209692],"study_design_scores_gemma":[0.0001224412,0.0001676891,0.00056668,0.0001375686,0.00007835069,0.0008395907,0.0003291527,0.4555244,0.01886296,0.2072244,0.3160883,0.00005836889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01465619,0.000256933,0.9310682,0.0001813762,0.00005358844,0.0000607595,0.00002611702,0.001420642,0.0522762],"genre_scores_gemma":[0.2360077,0.0005001773,0.6976339,0.00009088748,0.00004056429,0.0002116501,0.000177562,0.0004989762,0.06483847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01023946,"threshold_uncertainty_score":0.03425437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243986070623529,"score_gpt":0.246905437491311,"score_spread":0.1844655767850757,"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."}}