{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015429,0.00007585071,0.000082574,0.00003217257,0.00006047621,0.00001837988,0.00007002037,0.00003968452,0.0001118427],"category_scores_gemma":[0.00000544962,0.00007105203,0.00004633549,0.00005662327,0.000008267209,0.00009495486,0.00000673658,0.00004536112,0.0000956935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002564232,"about_ca_system_score_gemma":0.000005210528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.947487e-7,"about_ca_topic_score_gemma":6.565818e-7,"domain_scores_codex":[0.9995397,0.00000532561,0.0001267557,0.00005960951,0.00004494045,0.0002237031],"domain_scores_gemma":[0.9997256,0.00002861356,0.00001055969,0.0001438422,0.00002144001,0.0000699552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008914731,0.0001820999,0.0003045078,0.000309098,0.0001246516,1.004828e-7,0.0004090976,0.1037389,0.004059278,0.5229328,0.01102133,0.3569092],"study_design_scores_gemma":[0.001055084,0.00003400677,0.0005281123,0.00001215597,0.00003840932,0.000004164226,0.0001301132,0.3077878,0.003426941,0.001314114,0.6852561,0.0004130549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005533636,0.0004335289,0.9773449,0.0001731613,0.0001401942,0.001519526,0.000001599067,0.0003915364,0.01994021],"genre_scores_gemma":[0.9093361,0.0000461769,0.08200765,0.0003517973,0.0008111628,0.004423039,0.00002122075,0.00005971584,0.002943084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9092808,"threshold_uncertainty_score":0.2897418,"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."}}