{"id":"W2045135441","doi":"10.1109/icsmc.2006.384438","title":"A Macro-Robot Manipulator for Medical Applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Workspace; Robot; Computer science; Macro; Mobile manipulator; Simulation; Displacement (psychology); Robot kinematics; Actuator; Control engineering; Engineering; Mobile robot; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00003799597,0.00006214669,0.00006256226,0.00002259685,0.00005083029,0.00001700938,0.0001050234,0.00005547735,0.0001780474],"category_scores_gemma":[0.00000357299,0.00005970795,0.00003733055,0.00008973945,0.00001386349,0.00001724107,0.000009390432,0.00004052453,0.0001065629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001597182,"about_ca_system_score_gemma":0.000008783551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572963,"about_ca_topic_score_gemma":0.00003897512,"domain_scores_codex":[0.999557,9.693766e-7,0.0001344647,0.00009099332,0.000085709,0.0001309313],"domain_scores_gemma":[0.9997211,0.00004645106,0.000007136123,0.0001491375,0.00001936924,0.00005685009],"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":[8.697254e-7,0.00007827472,0.0005148382,0.00005431244,0.00002082273,4.475088e-7,0.000006936912,0.03487439,0.002926263,0.8872332,0.06546522,0.008824424],"study_design_scores_gemma":[0.0004535927,0.000008679487,0.00359104,0.000005426573,0.00002283529,0.000009660342,0.00001246602,0.3646389,0.003346381,0.02863686,0.5989771,0.000297045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009814085,0.00007551515,0.9822061,0.0003831896,0.00003985538,0.0003435515,0.000008115953,0.0004218271,0.01554043],"genre_scores_gemma":[0.9584532,0.000009459302,0.03840438,0.0001185761,0.0003837692,0.001224062,0.00006917555,0.00003355419,0.001303791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9574718,"threshold_uncertainty_score":0.243482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00649391243010184,"score_gpt":0.228055485855689,"score_spread":0.2215615734255871,"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."}}