{"id":"W2039086233","doi":"10.1016/s0303-2647(99)00091-x","title":"Computational dynamics of gradient bistable networks","year":2000,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bistability; Spurious relationship; Attractor; Computer science; Artificial neural network; Memorization; Computation; Value (mathematics); Dynamics (music); Artificial intelligence; Algorithm; Mathematics; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620134,0.0001990979,0.0003576132,0.0003857035,0.0003300155,0.0009611108,0.0006962323,0.000734729,0.004383481],"category_scores_gemma":[0.002117332,0.0002109637,0.0002059974,0.0002373583,0.0008442815,0.001409165,0.00064101,0.0006276491,0.0002538242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379772,"about_ca_system_score_gemma":0.0003598303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002045204,"about_ca_topic_score_gemma":0.001568827,"domain_scores_codex":[0.9999229,0.00002528567,0.000002602124,0.00001340719,0.00002117825,0.00001460918],"domain_scores_gemma":[0.9995753,0.0002371566,0.00004837069,0.00002943356,0.00004822565,0.00006145777],"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":[0.0000714729,0.00003035881,0.0008379822,0.00004135323,0.00002472248,0.00008224252,0.00009253647,0.4736162,0.004315624,0.5075347,0.001701968,0.01165075],"study_design_scores_gemma":[0.000007585434,0.000005899592,0.0001601888,0.000003239209,0.000002331529,0.00001312179,0.0000122655,0.8913437,0.0002630831,0.1078038,0.0003791271,0.000005636124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5867388,0.001257729,0.3541023,0.003789493,0.000299213,0.00004410916,0.0002491494,0.0004632568,0.05305585],"genre_scores_gemma":[0.9883757,0.0002673066,0.007249594,0.00008042849,0.00003347101,0.00002722084,0.00004248493,0.00003517067,0.003888691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004383481,"threshold_uncertainty_score":0.01466417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008572044566254341,"score_gpt":0.2129200999438849,"score_spread":0.2043480553776306,"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."}}