{"id":"W4384935016","doi":"10.24425/acs.2018.124713","title":"Engineering example of the constraint forces in non-holonomic mechanical: forklift-truck robot motion. Part I","year":2018,"lang":"en","type":"article","venue":"Archives of Control Sciences","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Holonomic; Holonomic constraints; Truck; Constraint (computer-aided design); Motion (physics); Robot; Computer science; Control engineering; Control theory (sociology); Engineering; Mechanical engineering; Automotive engineering; Classical mechanics; Artificial intelligence; Physics; Control (management)","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":[0.0003984476,0.0001141997,0.0002506723,0.000114193,0.00007566161,0.00001318282,0.0004309878,0.00002913131,0.00002381582],"category_scores_gemma":[0.0000658249,0.00007862808,0.0000875596,0.0002290009,0.0002916184,0.00006441486,0.00008429531,0.00007076882,0.000001367927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007738076,"about_ca_system_score_gemma":0.00001896133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007204738,"about_ca_topic_score_gemma":0.0001272337,"domain_scores_codex":[0.9990582,0.0000202053,0.0003316591,0.0001776224,0.0001492615,0.0002630934],"domain_scores_gemma":[0.9994494,0.0002374048,0.00008161577,0.0001782786,0.00001794792,0.00003530278],"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":[0.00003645632,0.00007289855,0.001497688,0.0001538522,0.0001476946,9.377949e-7,0.001756567,0.03823872,0.7191494,0.2081265,0.00005979859,0.0307596],"study_design_scores_gemma":[0.0007670457,0.0002423467,0.004151203,0.000153023,0.00001960152,0.000002592251,0.0002579121,0.8854488,0.08833242,0.02001772,0.0004051916,0.0002021847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843665,0.0003441598,0.2072076,0.0003361154,0.001224173,0.0006550147,0.00004557275,0.0000678713,0.005752987],"genre_scores_gemma":[0.9976335,0.00006205773,0.002209938,0.00001856666,0.00004890402,0.0000146383,3.986381e-7,0.000006859478,0.000005187774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.84721,"threshold_uncertainty_score":0.320636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289315206882336,"score_gpt":0.2073823956809946,"score_spread":0.1944892436121712,"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."}}