{"id":"W1974274543","doi":"10.1142/s0129065700000284","title":"INSTABILITIES AND OSCILLATION IN THE DETERMINISTIC BOLTZMANN MACHINE","year":2000,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Boltzmann machine; Computer science; Nonlinear system; Schedule; Oscillation (cell signaling); Robustness (evolution); Control theory (sociology); Mathematics; Applied mathematics; Mathematical optimization; Artificial intelligence; Artificial neural network; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575435,0.00005994262,0.0000901411,0.00006790843,0.00004068712,0.0002328092,0.0006292428,0.00001743269,0.000008648761],"category_scores_gemma":[0.00001507967,0.00003756089,0.00003374041,0.00009890466,0.00002766447,0.0003516727,0.00002827544,0.0001139967,0.000003136012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002073663,"about_ca_system_score_gemma":0.00001142684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004462072,"about_ca_topic_score_gemma":0.00001262886,"domain_scores_codex":[0.9991075,0.00008391852,0.0003350296,0.00008622103,0.0003100757,0.00007727157],"domain_scores_gemma":[0.99949,0.0001621965,0.0001331312,0.0001046264,0.00008191018,0.00002808415],"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":[0.0002061829,0.0004742999,0.05320216,0.00006247916,0.0001355437,0.0009189893,0.008506212,0.1029495,0.001793147,0.123687,0.003086594,0.7049779],"study_design_scores_gemma":[0.000932467,0.0002606507,0.08231685,0.0001306767,0.000009345938,0.005115451,0.0002669224,0.8594531,0.00002010812,0.004206622,0.04707341,0.0002143952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922264,0.0004797549,0.001824513,0.003960447,0.0005761425,0.000105531,0.000003300374,0.000008938464,0.0008150201],"genre_scores_gemma":[0.9992605,0.00006864472,0.0001026158,0.0002422055,0.0002443187,0.000004195116,6.508647e-7,0.000002365251,0.00007448821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7565036,"threshold_uncertainty_score":0.2244985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578361785601246,"score_gpt":0.2615887436573754,"score_spread":0.2458051258013629,"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."}}