{"id":"W4250940610","doi":"10.22215/etd/2006-08044","title":"Consideration of the effect of vehicle stability augmentation algorithm failure modes on vehicle behaviour","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Stability (learning theory); Computer science; Algorithm; Engineering; Machine learning","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":[0.0005682291,0.0004906981,0.0003183232,0.0003868206,0.0002697372,0.0005035882,0.0003053253,0.000649631,0.003454151],"category_scores_gemma":[0.006597602,0.0001810108,0.0003357258,0.000187636,0.0003091844,0.0005107694,0.0003126245,0.0004878327,0.0003862368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103059,"about_ca_system_score_gemma":0.0003000048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083884,"about_ca_topic_score_gemma":0.003314312,"domain_scores_codex":[0.999621,0.0001103881,0.00001926754,0.00005455886,0.000121337,0.00007333091],"domain_scores_gemma":[0.9941491,0.004260355,0.000314882,0.0002926447,0.000859683,0.0001233838],"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":[0.002675686,0.0002701936,0.02332856,0.0002584115,0.0001047382,0.0005160103,0.0001980918,0.781139,0.1058404,0.000880852,0.000757296,0.08403085],"study_design_scores_gemma":[0.0000183167,0.00136645,0.02206734,0.00002672654,0.00008179669,0.00023357,0.0001785441,0.9290676,0.04598614,0.0003405219,0.0006059078,0.00002709476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951519,0.0002292263,0.0434274,0.0001415246,0.00006622468,0.00002814122,0.0001340046,0.0003506033,0.004103812],"genre_scores_gemma":[0.9977461,0.00003252061,0.001527496,0.00000613434,0.000002738057,0.000006245505,0.00003093618,0.00002073361,0.0006270345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003454151,"threshold_uncertainty_score":0.01155525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004405040624428879,"score_gpt":0.205293576677156,"score_spread":0.2008885360527271,"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."}}