{"id":"W2019913969","doi":"10.1109/iros.2014.6942601","title":"A dual-motor robot joint mechanism with epicyclic gear train","year":2014,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanism (biology); Dual (grammatical number); Robot; Joint (building); Computer science; Gear train; Robot kinematics; Control engineering; Mobile robot; Automotive engineering; Engineering; Artificial intelligence; Physics; Backlash; Structural engineering","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":[0.0004796172,0.0004356341,0.000389584,0.000463491,0.000269915,0.0004336303,0.001306324,0.0007182122,0.003159541],"category_scores_gemma":[0.0004561252,0.0003365465,0.0003855774,0.0002504013,0.0005516294,0.000948732,0.0006530878,0.0003770282,0.0007648632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406314,"about_ca_system_score_gemma":0.0003573574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611404,"about_ca_topic_score_gemma":0.0001638611,"domain_scores_codex":[0.9996576,0.00003677464,0.00002976051,0.00008181687,0.0001647998,0.00002911958],"domain_scores_gemma":[0.9997515,0.00004114319,0.00006000725,0.0000567613,0.00004524081,0.00004525474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006986916,0.0002572761,0.002151436,0.001132111,0.0001138749,0.001372902,0.0002650313,0.02384364,0.6687604,0.0744886,0.002717394,0.2241987],"study_design_scores_gemma":[0.001054478,0.01144116,0.0142114,0.000361484,0.0004364581,0.01707571,0.0001704968,0.2940401,0.3400354,0.01470415,0.3059052,0.0005639517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1468893,0.002083603,0.8304517,0.0002083705,0.0005679849,0.0002874873,0.0001205641,0.001365375,0.01802549],"genre_scores_gemma":[0.6413185,0.0007723558,0.3425429,0.00008994769,0.0001014991,0.0002214791,0.0001193964,0.00004040465,0.01479345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003159541,"threshold_uncertainty_score":0.01056975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704244511799301,"score_gpt":0.1931486938101025,"score_spread":0.1761062486921094,"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."}}