{"id":"W2076181060","doi":"10.1080/00423110600869537","title":"Comparability of the non-linear and linearized stability assessment during railway vehicle design","year":2006,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Stability (learning theory); Linear stability; Linear model; Control theory (sociology); Dispersion (optics); Linear relationship; Mathematics; Computer science; Mechanics; Instability; Physics; Statistics","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":[0.000462091,0.0002118599,0.0001571456,0.0005540266,0.0001790377,0.000346823,0.0002334397,0.0001249909,0.001904553],"category_scores_gemma":[0.002093338,0.0001427653,0.0001861063,0.0001655639,0.0002036746,0.0003347838,0.0003315797,0.000151535,0.0003992967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292463,"about_ca_system_score_gemma":0.0002241512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339586,"about_ca_topic_score_gemma":0.001897293,"domain_scores_codex":[0.9994743,0.0002372281,0.00001734991,0.00003423477,0.0002148025,0.00002198422],"domain_scores_gemma":[0.9988497,0.0006992589,0.00009364585,0.00008284244,0.0002526828,0.00002189758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009046979,0.0001329468,0.02017109,0.0005590366,0.00009898194,0.0001239301,0.0009872429,0.595467,0.1029476,0.004871865,0.0007357359,0.2729999],"study_design_scores_gemma":[0.0000388974,0.0006154316,0.0225553,0.00002478643,0.00004473162,0.00009219503,0.0002251813,0.9006897,0.07260909,0.001406531,0.001651593,0.0000466037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7302759,0.0001647305,0.2614544,0.00005051327,0.00001068247,0.00004802602,0.0000770683,0.000784922,0.007133742],"genre_scores_gemma":[0.9932073,0.00002517897,0.005493059,0.0000033331,0.000002036724,0.00002351091,0.00004655885,0.00003342257,0.001165591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001904553,"threshold_uncertainty_score":0.006371319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008275506376542188,"score_gpt":0.200937302488727,"score_spread":0.1926617961121848,"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."}}