{"id":"W2809905232","doi":"10.1139/tcsme-2017-0126","title":"Ground mobile Bennett mechanism","year":2018,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mechanism (biology); Kinematics; Computer science; Gait; Actuator; Simulation; Control theory (sociology); Artificial intelligence; Physics; Classical mechanics; Control (management); Physical medicine and rehabilitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244593,0.0001331342,0.000154497,0.00003810615,0.0001986549,0.0000204259,0.0002513959,0.0001441032,0.0001338072],"category_scores_gemma":[0.000007358134,0.0001231979,0.0004584536,0.0002090133,0.0000333725,0.00006986715,0.000003255596,0.0001708207,0.000006467787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471,"about_ca_system_score_gemma":0.00006352617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517021,"about_ca_topic_score_gemma":0.0104475,"domain_scores_codex":[0.9992524,0.000004076848,0.0001931275,0.0001170313,0.0001093813,0.0003240245],"domain_scores_gemma":[0.9994439,0.00003689788,0.00001609084,0.0002553402,0.00005628445,0.0001914269],"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":[0.000009298806,0.00004999828,8.116857e-7,0.0003413056,0.0009872622,5.820341e-7,0.001230026,0.8031792,0.07725429,0.102001,0.002045283,0.01290089],"study_design_scores_gemma":[0.0004931816,0.00008168769,0.00001083172,0.00003265967,0.00009787457,0.000006466252,0.0001067131,0.9588453,0.02896127,0.001277223,0.009863545,0.0002232138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005378347,0.00006084483,0.9921357,0.0002134998,0.001309332,0.0004965374,0.00006696815,0.0001850483,0.0001537378],"genre_scores_gemma":[0.9904511,0.00000901791,0.008982072,0.0001102284,0.0001213542,0.0001154508,0.000002230529,0.00004325015,0.0001652839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9850728,"threshold_uncertainty_score":0.5829949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007061597338247002,"score_gpt":0.1857921311001078,"score_spread":0.1787305337618608,"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."}}