{"id":"W1700679791","doi":"10.1109/robot.1994.351146","title":"A six degree-of-freedom, hydraulic, one person motion simulator","year":2002,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Payload (computing); Kinematics; Stewart platform; Simulation; Motion simulator; Ceiling (cloud); Computer science; Motion (physics); Hydraulic machinery; Motion control; Mechanical engineering; Engineering; Physics; Structural engineering; Artificial intelligence","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":[0.0002667224,0.000370813,0.0002590016,0.0001736421,0.0001823765,0.0003249624,0.0006682997,0.0003838033,0.01016691],"category_scores_gemma":[0.0005910717,0.0001896554,0.0002926175,0.0001112671,0.0002633357,0.00037983,0.0005979252,0.0004205339,0.001703253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525916,"about_ca_system_score_gemma":0.0007619097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009090041,"about_ca_topic_score_gemma":0.001071129,"domain_scores_codex":[0.9997918,0.00005235444,0.00001239875,0.00002659264,0.00009669588,0.00002022561],"domain_scores_gemma":[0.9998139,0.00005551348,0.00001466023,0.00002831282,0.00004786985,0.00003976332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006812861,0.0004376102,0.003579805,0.000780257,0.000075647,0.0006236409,0.0006491668,0.4340883,0.2084971,0.03032279,0.01389346,0.3063709],"study_design_scores_gemma":[0.0002653291,0.001021757,0.001330977,0.00004061892,0.0000348908,0.0005661208,0.0001056123,0.8252359,0.04726178,0.003327044,0.1207463,0.00006362433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02817461,0.00004533385,0.9591763,0.00009734886,0.00006923064,0.0003517826,0.0004248477,0.002177536,0.009483008],"genre_scores_gemma":[0.3520926,0.000276687,0.6220975,0.0001240847,0.00002736191,0.0007292547,0.001570096,0.0002694355,0.02281291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01016691,"threshold_uncertainty_score":0.03401172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05185384779104991,"score_gpt":0.2135072108725913,"score_spread":0.1616533630815414,"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."}}