{"id":"W3112109997","doi":"10.37628/ijra.v4i1.698","title":"Medical Imaging and Application of Medical Robots in Medical Imaging: An Overview","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Medicine; Medical imaging; Orthopedic surgery; Neurosurgery; Medical physics; Robotics; Medical robotics; Surgical robot; Surgery; General surgery; Artificial intelligence; Radiology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006813341,0.0007266104,0.000600424,0.003021448,0.0003530448,0.00140121,0.0007194305,0.002037673,0.002874896],"category_scores_gemma":[0.0008482282,0.000556586,0.0007182929,0.002210271,0.0008019728,0.002181597,0.0008231056,0.001190408,0.00191171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004938257,"about_ca_system_score_gemma":0.000537251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004662406,"about_ca_topic_score_gemma":0.0004599028,"domain_scores_codex":[0.9993436,0.0001274842,0.00006447257,0.0001140326,0.0003091739,0.00004124714],"domain_scores_gemma":[0.9993094,0.0003494614,0.00006137478,0.00003369327,0.0002045748,0.00004157109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001359383,0.0001846835,0.001833028,0.009660429,0.00008963689,0.0009260282,0.0003387064,0.003215886,0.02306828,0.03160911,0.01884155,0.9100967],"study_design_scores_gemma":[0.00001415054,0.0004524283,0.004121265,0.002368907,0.0001104613,0.01182067,0.0002585575,0.007320271,0.01299504,0.01543089,0.9449577,0.0001497444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002903191,0.9128473,0.05566978,0.001591359,0.000713221,0.00007473527,0.00006677462,0.0001857461,0.02594793],"genre_scores_gemma":[0.0329397,0.9057196,0.0489352,0.001003197,0.002033415,0.0001017577,0.0001368829,0.00005556239,0.009074664],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003021448,"threshold_uncertainty_score":0.009617448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217692360663979,"score_gpt":0.3158416646618814,"score_spread":0.3036647410552416,"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."}}