{"id":"W2022606637","doi":"10.1115/1.4000313","title":"Dynamic Modeling and Analysis of a Circular Track-Guided Tripod","year":2009,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tripod (photography); Kinematics; Actuator; Workspace; Control theory (sociology); Engineering; Fuselage; Robot; Simulation; Computer science; Mechanical engineering; Physics; Classical mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234392,0.0001151543,0.0003870585,0.0003718311,0.00003283436,0.00002483057,0.00006951579,0.00006433109,0.000003050564],"category_scores_gemma":[0.00001824402,0.0001049928,0.0001301121,0.0003146857,0.00001977846,0.0001085034,0.000008823641,0.0001422077,1.212934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003902206,"about_ca_system_score_gemma":0.00003023631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001613794,"about_ca_topic_score_gemma":0.000003987307,"domain_scores_codex":[0.9990127,0.00001496612,0.0005568095,0.00008395979,0.0002285265,0.0001030365],"domain_scores_gemma":[0.999465,0.00005986348,0.0001431143,0.00005867914,0.0001863289,0.00008705184],"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":[0.0000129652,0.00003376953,0.00008372568,0.00002364255,0.0003143462,0.000008121035,0.00007598539,0.9896864,0.000100066,0.002192975,0.000001310486,0.007466719],"study_design_scores_gemma":[0.0004062558,0.00008826418,0.003107349,0.00002493758,0.0003959023,0.00009668186,0.00004057346,0.9812833,0.000001391597,0.01445342,0.000001773549,0.0001001417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544557,0.0002930473,0.5450723,0.00006931638,0.00003904673,0.00002398927,0.00001572723,0.000008094781,0.00002273972],"genre_scores_gemma":[0.730909,0.0002524843,0.2687382,0.00003248928,0.00001867559,1.198447e-7,0.00003583849,0.000008366726,0.000004728163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2764533,"threshold_uncertainty_score":0.4281483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009705596943247893,"score_gpt":0.2395547567916037,"score_spread":0.2298491598483558,"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."}}