{"id":"W4394681121","doi":"10.1146/annurev-bioeng-081523-033131","title":"Medical Microrobots","year":2024,"lang":"en","type":"article","venue":"Annual Review of Biomedical Engineering","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Framework Programme; European Commission","keywords":"Computer science; Risk analysis (engineering); Human–computer interaction; Engineering; Medicine","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":[0.0005637073,0.0007091651,0.0007646752,0.0005938573,0.000491548,0.0010016,0.0009774887,0.001688492,0.005653356],"category_scores_gemma":[0.000887981,0.0004302631,0.0003860079,0.0004082042,0.000664822,0.0009506834,0.0008952044,0.0009755382,0.00254253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726895,"about_ca_system_score_gemma":0.0003608196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003806843,"about_ca_topic_score_gemma":0.0005187243,"domain_scores_codex":[0.9993883,0.000127937,0.0000326561,0.0001514704,0.0002225474,0.00007703563],"domain_scores_gemma":[0.9997512,0.0001023094,0.00003653327,0.00002081897,0.00005245947,0.00003669631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005697276,0.0001446187,0.0006646739,0.005650969,0.00009706238,0.0008607734,0.0004288413,0.006594349,0.507351,0.07673946,0.02990075,0.3709977],"study_design_scores_gemma":[0.00008395978,0.001002912,0.001106968,0.000801788,0.0000943411,0.002405493,0.0001972258,0.01169775,0.16742,0.01892469,0.7961156,0.0001492748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03914449,0.4156601,0.4166032,0.006113432,0.01092668,0.0007407331,0.001387846,0.003169989,0.1062535],"genre_scores_gemma":[0.520792,0.1766122,0.2320098,0.005065891,0.001719479,0.001459631,0.001090218,0.000272435,0.06097838],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005653356,"threshold_uncertainty_score":0.01891232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003958526231667679,"score_gpt":0.2350659258175977,"score_spread":0.2311073995859301,"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."}}