{"id":"W1978961505","doi":"10.1002/rob.8112","title":"A dexterous humanoid shoulder mechanism","year":2001,"lang":"en","type":"article","venue":"Journal of Robotic Systems","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University","keywords":"Mechanism (biology); Kinematics; Ball (mathematics); Joint (building); Universal joint; Computer science; Motion (physics); Shoulder joint; Humanoid robot; Simulation; Engineering; Artificial intelligence; Mathematics; Mechanical engineering; Physics; Structural engineering; Classical mechanics; Geometry; Anatomy; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004147289,0.0003941179,0.0004095366,0.0004608866,0.0004224741,0.0005898792,0.0007697567,0.0008677817,0.006032558],"category_scores_gemma":[0.000698262,0.0001782531,0.0004073076,0.0001785889,0.001027192,0.00061662,0.001191904,0.0002299842,0.0007535542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461105,"about_ca_system_score_gemma":0.0004209823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003770528,"about_ca_topic_score_gemma":0.0001874085,"domain_scores_codex":[0.9997826,0.00004482438,0.00002007733,0.00005051,0.00008286227,0.00001916286],"domain_scores_gemma":[0.9997129,0.0000531376,0.00004384222,0.00006884462,0.00004397605,0.00007729536],"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":[0.0007322577,0.0001639206,0.004266111,0.0009695608,0.0001522522,0.004293237,0.00167706,0.04054299,0.5328488,0.1896062,0.005130799,0.2196168],"study_design_scores_gemma":[0.00185976,0.006815801,0.01571413,0.0007301117,0.0003830179,0.03474449,0.000957347,0.4352529,0.1328526,0.1547192,0.215489,0.0004816893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4492217,0.00290121,0.5027547,0.0006742588,0.0006018117,0.0003152502,0.0001933513,0.003020533,0.04031721],"genre_scores_gemma":[0.9475613,0.0003218049,0.04488697,0.0000687935,0.0000360981,0.00005852325,0.0000504657,0.00001692489,0.006999162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006032558,"threshold_uncertainty_score":0.02018094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499134678851407,"score_gpt":0.2174076252370441,"score_spread":0.20241627844853,"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."}}