{"id":"W2625584408","doi":"10.1371/journal.pone.0179485","title":"Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaya","keywords":"Degrees of freedom (physics and chemistry); Simplicity; Context (archaeology); Suspension (topology); Stiffness; Computer science; Representation (politics); Quarter (Canadian coin); Simulation; Vehicle dynamics; Control theory (sociology); Engineering; Mathematics; Automotive engineering; Artificial intelligence; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001691074,0.00014104,0.0003432002,0.00003630293,0.0001701299,0.00006744017,0.0001651911,0.0001013326,0.00001232783],"category_scores_gemma":[0.0004816713,0.0001109722,0.00004807578,0.00002151882,0.00002910085,0.0003047135,0.00005211783,0.0001704052,0.00001299671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378046,"about_ca_system_score_gemma":0.00000450862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011015,"about_ca_topic_score_gemma":0.000002905853,"domain_scores_codex":[0.999249,0.00002642198,0.0002128558,0.000158745,0.0001618224,0.0001911224],"domain_scores_gemma":[0.9991032,0.0004226212,0.00004737725,0.0003150584,0.00003237404,0.00007938762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001476365,0.000145498,0.04660906,0.0005296399,0.0004744945,0.000002819919,0.0002411191,0.2387797,0.6954598,0.000715257,0.0000511725,0.01684379],"study_design_scores_gemma":[0.000565435,0.0001373498,0.004096549,0.0001052302,0.00007451282,9.235296e-8,0.000001963874,0.9543709,0.04013046,0.0003939524,5.74859e-7,0.0001229727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814616,0.00006745214,0.01730262,0.0001496941,0.00001466386,0.000201524,0.00002062972,0.0001120594,0.0006697936],"genre_scores_gemma":[0.9992282,0.00003743995,0.0005632484,0.00002577527,0.00009561711,0.00001931966,0.000003974061,0.00001626904,0.00001017966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7155912,"threshold_uncertainty_score":0.4525317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04985928176970335,"score_gpt":0.2552330079475346,"score_spread":0.2053737261778312,"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."}}