{"id":"W7075592168","doi":"","title":"MetaMorph II: An agent based architecture for distributed intelligent design and manufacturing","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agent architecture; Intelligent agent; Architecture; Systems architecture; Distributed manufacturing; Multi-agent system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514361,0.0001271991,0.0001791326,0.00003963528,0.0001114839,0.00001969357,0.00006238964,0.0000617402,0.0005009483],"category_scores_gemma":[0.00009753597,0.000100021,0.00005401848,0.00003544876,0.00003991314,0.00002762993,0.00001790972,0.0001170773,0.000006694188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002494717,"about_ca_system_score_gemma":0.00002714695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001343593,"about_ca_topic_score_gemma":0.000003345906,"domain_scores_codex":[0.9992594,0.00003547789,0.0001341383,0.0002187935,0.0001294755,0.0002227188],"domain_scores_gemma":[0.9993117,0.0002149357,0.00002297039,0.0002017684,0.000017428,0.0002312113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001846395,0.0004541824,0.0004327784,0.0001358343,0.0001331297,0.0001131416,0.0005855901,0.0118677,0.008131837,0.0002054237,0.006593694,0.9695003],"study_design_scores_gemma":[0.004950852,0.00351261,0.01521153,0.0003334663,0.0006046152,0.000132607,0.00008422374,0.05934963,0.8041857,0.008468864,0.1025586,0.0006072682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5188833,0.0001065674,0.4784265,0.001156699,0.00003427597,0.000610918,0.00009681656,0.00010534,0.00057964],"genre_scores_gemma":[0.9124019,0.0000180703,0.08653186,0.0005094516,0.00007955904,0.00004297591,0.00019893,0.00001655193,0.000200752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9688931,"threshold_uncertainty_score":0.5485033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304812395976458,"score_gpt":0.2695426292012546,"score_spread":0.23649450524149,"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."}}