{"id":"W2334144291","doi":"10.2514/6.2006-1664","title":"Practical Large-Motion Modeling of Geometrically Complex Flexible Vehicles","year":2006,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Motion (physics); Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002065752,0.00007761501,0.0001722017,0.00008113376,0.00002147528,0.00002127668,0.00006617931,0.00006649591,0.0000760394],"category_scores_gemma":[0.00002349024,0.00006923387,0.00006112698,0.0001982403,0.00000444596,0.00007638022,0.00001801139,0.00007704984,0.00003608281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003431993,"about_ca_system_score_gemma":0.000006034125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001132893,"about_ca_topic_score_gemma":0.00002538705,"domain_scores_codex":[0.999225,0.00001248984,0.0002925103,0.00009276357,0.0001906238,0.0001865626],"domain_scores_gemma":[0.9997188,0.00004780923,0.00002419859,0.0001124654,0.00005600716,0.00004073442],"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":[0.00001197323,0.0001473491,0.0002365666,0.00006211582,0.0000357736,0.000003078326,0.00000375924,0.735247,0.01887622,0.2415642,0.001852962,0.001959075],"study_design_scores_gemma":[0.0003236523,0.0000202308,0.0003251986,0.000006593847,0.000008632097,0.000002353434,0.00001084844,0.9954507,0.0001953555,0.002404177,0.00117056,0.00008164003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03767556,0.00005309851,0.9401268,0.0001481494,0.00008855312,0.00007995051,0.000007881197,0.0001955608,0.02162439],"genre_scores_gemma":[0.9929314,0.000004803022,0.006791662,0.00001889533,0.00007473447,0.000003826509,0.00001248214,0.00001480014,0.0001473741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9552559,"threshold_uncertainty_score":0.2823275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025323756967932,"score_gpt":0.251454546273481,"score_spread":0.226130789305549,"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."}}