{"id":"W2016619446","doi":"10.1097/00002480-200111000-00023","title":"Automatic Monitoring System for Artificial Hearts Using Self Organizing Map","year":2001,"lang":"en","type":"article","venue":"ASAIO Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Self-organizing map; Artificial intelligence; Computer science; Pattern recognition (psychology); Learning vector quantization; Vector quantization; Support vector machine; Artificial neural network","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":[0.0003193348,0.000222075,0.0002762345,0.0003780522,0.0002251873,0.0002999141,0.0003632063,0.0004207126,0.0007801746],"category_scores_gemma":[0.0006773921,0.0001099314,0.000207014,0.0002344385,0.0001491178,0.0003897341,0.0002628518,0.0001969877,0.0002895841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495418,"about_ca_system_score_gemma":0.0001567386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005172596,"about_ca_topic_score_gemma":0.0005111456,"domain_scores_codex":[0.9997754,0.00004913382,0.0000136592,0.00004234429,0.00009777681,0.00002170402],"domain_scores_gemma":[0.9997197,0.00007431481,0.00002813939,0.00002812109,0.0001304601,0.00001926009],"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":[0.0003975776,0.0002247477,0.004947497,0.0002314474,0.00009601789,0.0003906283,0.0003381522,0.02820418,0.1734828,0.003046445,0.004511509,0.7841291],"study_design_scores_gemma":[0.0001042937,0.0005410574,0.00889847,0.00003557258,0.00008225816,0.0006713437,0.0001214399,0.9065588,0.06706872,0.004666949,0.01118463,0.00006643526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429837,0.0004112056,0.8500417,0.0001812137,0.0001309164,0.00007644718,0.00007178193,0.003288567,0.002814465],"genre_scores_gemma":[0.8202927,0.0001549921,0.1770369,0.00006918724,0.00005446762,0.0001006288,0.000102044,0.00003523384,0.002153867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007801746,"threshold_uncertainty_score":0.002609909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073972904769218,"score_gpt":0.243053239246179,"score_spread":0.2223135101984869,"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."}}