{"id":"W2352664306","doi":"","title":"The Mathematics Model and Simulation Analysis on All-Terrain Crane Hydro-pneumatic Suspension System","year":2010,"lang":"en","type":"article","venue":"Modern Manufacturing Technology and Equipment","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Suspension (topology); Terrain; Nonlinear system; Stiffness; Engineering; Component (thermodynamics); Control theory (sociology); Control engineering; Computer science; Mathematics; Structural engineering; Physics; Artificial intelligence; Control (management); Geography","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":[0.0001389972,0.0003154637,0.0003702092,0.0004774853,0.0004894818,0.0006219575,0.0005417015,0.000497602,0.003773293],"category_scores_gemma":[0.0003526314,0.0001671119,0.0005265744,0.0002690735,0.0003867312,0.0009212365,0.0004817831,0.0004047955,0.0003613285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965568,"about_ca_system_score_gemma":0.0006417023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686032,"about_ca_topic_score_gemma":0.004929803,"domain_scores_codex":[0.9998598,0.00002508626,0.000008403782,0.00002343936,0.00006313039,0.00002005011],"domain_scores_gemma":[0.9999019,0.00002308667,0.00001508621,0.000008477445,0.00004356843,0.000007755954],"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":[0.00004692372,0.00002258004,0.001887964,0.00007781722,0.00001695209,0.0002597935,0.0001640358,0.9464014,0.00463478,0.03774851,0.0007028718,0.008036416],"study_design_scores_gemma":[0.00000684594,0.00001388957,0.0002625237,0.000003393097,0.000004127487,0.0000214046,0.00001602448,0.9960944,0.0004039716,0.002398385,0.0007705395,0.000004526073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2204348,0.0007422449,0.7067479,0.0007652591,0.0001522117,0.0001161351,0.000362,0.0007496708,0.0699297],"genre_scores_gemma":[0.9814466,0.0004729945,0.008793872,0.00002788854,0.000026437,0.00007544598,0.0001438098,0.00002903431,0.008983947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01686032,"threshold_uncertainty_score":0.03352433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009804753634484359,"score_gpt":0.2242458919724351,"score_spread":0.2144411383379508,"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."}}