{"id":"W2063907884","doi":"10.1109/humanoids.2012.6651614","title":"Rapid prototyping toolchain for humanoid robotics applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quanser (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toolchain; Humanoid robot; Computer science; Workflow; Mechatronics; CAD; Rapid prototyping; Robotics; Robot; Kinematics; Software; Embedded system; Workspace; Computer Aided Design; Artificial intelligence; Engineering; Engineering drawing; Programming language; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002123012,0.001136556,0.000566205,0.001063622,0.0006532145,0.001038674,0.001775822,0.0009211883,0.03676875],"category_scores_gemma":[0.005629568,0.0008491587,0.0006522789,0.0005431367,0.0004332094,0.001513156,0.001907362,0.001348791,0.01339573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918677,"about_ca_system_score_gemma":0.00138388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007768503,"about_ca_topic_score_gemma":0.0007996358,"domain_scores_codex":[0.9985939,0.0003224164,0.0001027102,0.0001398145,0.0007176544,0.0001234133],"domain_scores_gemma":[0.9971307,0.001264764,0.0001265902,0.0006391249,0.0006627246,0.0001761456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008879522,0.0002977322,0.001784639,0.001515417,0.0000761866,0.002444824,0.0008730727,0.0943138,0.1068687,0.0395791,0.04572004,0.7056385],"study_design_scores_gemma":[0.0004826104,0.000756846,0.0009178761,0.0004512332,0.00006272395,0.002032214,0.000182752,0.2940364,0.1201879,0.03589387,0.5447848,0.0002108276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009366973,0.0003547377,0.9549586,0.0001282919,0.0001659704,0.0004473877,0.0004344652,0.01890011,0.01524349],"genre_scores_gemma":[0.127203,0.001180006,0.8369837,0.0001498627,0.00005427705,0.001548707,0.002667993,0.005732099,0.02448039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03676875,"threshold_uncertainty_score":0.1230038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036044573165923,"score_gpt":0.2329813339404495,"score_spread":0.2126208882087902,"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."}}