{"id":"W4213025987","doi":"10.1109/tmrb.2022.3147605","title":"Guest Editorial Special Section on Surgical Vision, Navigation, and Robotics","year":2022,"lang":"en","type":"editorial","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Robotics; Artificial intelligence; Special section; Bionics; Automation; Section (typography); Geography of robotics; Future of robotics; Robot; Computer science; Engineering; Mechanical engineering; Engineering physics","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.000560724,0.0004659832,0.0005887821,0.0002573426,0.0004467651,0.00007286222,0.0002683284,0.002949463,0.0002570931],"category_scores_gemma":[0.0001739383,0.0004358975,0.0001393419,0.0003425194,0.0004172965,0.00006983408,0.00001288991,0.005013603,0.0000185835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023696,"about_ca_system_score_gemma":0.0002591692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001388748,"about_ca_topic_score_gemma":0.00003266182,"domain_scores_codex":[0.9962687,0.00009081571,0.0006016614,0.0005776209,0.002010717,0.0004504861],"domain_scores_gemma":[0.9979918,0.0009676879,0.00008040758,0.0003029012,0.0001206805,0.0005365425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008594676,0.0001939297,2.710487e-7,0.0001277959,0.00009638796,0.0001086045,0.0000318224,0.01872676,0.000001362064,0.0003662213,0.9686755,0.01158542],"study_design_scores_gemma":[0.001208585,0.00072763,4.036401e-7,0.0002181471,0.0001328442,0.00004267117,0.00003470303,0.00896139,0.00002378558,0.000228854,0.9879966,0.0004244336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005538767,0.0003609395,0.02060875,0.0007700516,0.9772252,0.0002198031,0.0001592174,0.0003370926,0.0002635326],"genre_scores_gemma":[0.0006717904,0.01908492,0.0002315133,0.00004307064,0.9794395,0.00002898228,0.0002130107,0.00008159685,0.0002056089],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02037724,"threshold_uncertainty_score":0.9998093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004966976394204822,"score_gpt":0.2407018359885488,"score_spread":0.235734859594344,"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."}}