{"id":"W2392190878","doi":"","title":"Optimal hydraulic excavator's parametric modeling design of kinematics and dynamics","year":2005,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Excavator; Kinematics; Parametric statistics; Control engineering; Computer science; Control theory (sociology); Parametric design; Engineering; Mathematics; Control (management); Mechanical engineering; Artificial intelligence; Physics; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211453,0.000132897,0.000256539,0.000130037,0.00002024672,0.00001890614,0.00009359211,0.00008109365,0.00003241047],"category_scores_gemma":[0.00003571471,0.0001190129,0.00002945825,0.000223056,0.00001681119,0.00009387994,0.00001729629,0.00007303322,0.0000205882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000421895,"about_ca_system_score_gemma":0.000008979302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002113005,"about_ca_topic_score_gemma":0.000003589947,"domain_scores_codex":[0.999172,0.00001970894,0.0003877663,0.00009742313,0.00014695,0.0001761505],"domain_scores_gemma":[0.9995643,0.0001257397,0.00003261774,0.0001788974,0.00002564466,0.000072729],"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":[0.000001133051,0.000009473062,0.0000442394,0.0001266816,0.000025431,5.087398e-7,0.0002179901,0.9954529,0.00008230519,0.0003039415,0.0001334305,0.003601914],"study_design_scores_gemma":[0.0001623427,0.00001876839,0.00001100638,0.00003767168,0.00001495365,0.00001499343,0.0001591558,0.9991418,0.0002041693,0.00005440728,0.00004920363,0.0001315842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2081749,0.0003322856,0.7870978,0.00002401796,0.00005419572,0.0001430061,0.000001454818,0.0001212171,0.004051194],"genre_scores_gemma":[0.9120616,0.00008927392,0.08768189,0.00001511241,0.00004310062,0.000007946662,0.000001970439,0.00002419757,0.00007487713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7038867,"threshold_uncertainty_score":0.4853207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985748659863692,"score_gpt":0.2147558920037672,"score_spread":0.1948984054051303,"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."}}