{"id":"W4406106821","doi":"10.54097/rds1e919","title":"Study and Perspective on the Medical Robot: Healthcare with Technology","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Health care; Perspective (graphical); Robot; Computer science; Medicine; Artificial intelligence; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008402991,0.0004251966,0.0004311656,0.00153409,0.001126867,0.003907588,0.000680869,0.003687348,0.006837633],"category_scores_gemma":[0.001021462,0.0001595351,0.0004547399,0.00207808,0.004491962,0.005326167,0.001448195,0.002997156,0.001875035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468754,"about_ca_system_score_gemma":0.002714155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579243,"about_ca_topic_score_gemma":0.002132532,"domain_scores_codex":[0.9989898,0.0003992644,0.00005177196,0.0001525362,0.0002926836,0.000113869],"domain_scores_gemma":[0.9991589,0.0004665818,0.00006442698,0.00004164859,0.0001760059,0.00009246296],"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":[0.00003343265,0.00006498615,0.0009870108,0.001552902,0.00001801474,0.0003967528,0.002520362,0.0004443481,0.0008154772,0.7778464,0.06015078,0.1551696],"study_design_scores_gemma":[0.000006507823,0.0001240378,0.001134418,0.001704493,0.00001154908,0.001239521,0.001960341,0.000456362,0.0002883572,0.06700072,0.9260486,0.00002506133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003170265,0.6914693,0.01228856,0.09032261,0.005972667,0.00005897642,0.0000939679,0.00007847921,0.1965452],"genre_scores_gemma":[0.08695585,0.8066521,0.008699248,0.03941335,0.01144239,0.00013686,0.00009712892,0.00005061117,0.04655243],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006837633,"threshold_uncertainty_score":0.02287418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399279343207488,"score_gpt":0.2501637182742937,"score_spread":0.2427644389310862,"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."}}