{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294737,0.0006509669,0.0005796603,0.0005562193,0.0005784503,0.002155055,0.001888422,0.001359624,0.01271368],"category_scores_gemma":[0.002430131,0.001013693,0.0006409767,0.0004867987,0.0005782295,0.001715485,0.001890305,0.001355796,0.003902415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366801,"about_ca_system_score_gemma":0.001147666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725492,"about_ca_topic_score_gemma":0.001867581,"domain_scores_codex":[0.999274,0.0001645963,0.00006660992,0.0001204327,0.0003125253,0.00006188369],"domain_scores_gemma":[0.9990987,0.0002465606,0.00007636065,0.0003059116,0.0001601887,0.0001123188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001538368,0.000796299,0.005015781,0.001162973,0.0003530233,0.001178469,0.001139425,0.1741642,0.1160918,0.1029035,0.07766873,0.5179873],"study_design_scores_gemma":[0.0002983999,0.0003441535,0.001077413,0.0001224292,0.0001229281,0.0004551938,0.00009404174,0.754961,0.04386838,0.0305202,0.1680599,0.00007601582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00723829,0.0001272489,0.9605456,0.000220559,0.0001154021,0.0002841346,0.0002458797,0.02028734,0.01093549],"genre_scores_gemma":[0.1544017,0.0004808997,0.800502,0.0002739974,0.00006734443,0.0005392523,0.001920219,0.002605748,0.03920878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01271368,"threshold_uncertainty_score":0.04253149,"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."}}