{"id":"W4407948542","doi":"10.1126/scirobotics.adq0192","title":"Telesurgery and the importance of context","year":2025,"lang":"en","type":"review","venue":"Science Robotics","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Software deployment; Context (archaeology); Computer science; Key (lock); Realization (probability); Risk analysis (engineering); Data science; Management science; Engineering; Medicine; Computer security; Software engineering","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":[0.001061374,0.0001037046,0.0008722023,0.0001139128,0.00007817732,0.00001676988,0.0001248984,0.00005951436,0.00001983195],"category_scores_gemma":[0.001210392,0.00005191777,0.0001532833,0.0008129623,0.001290765,0.00002771575,0.00006452067,0.0001611884,0.000002457541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002226643,"about_ca_system_score_gemma":0.0007214157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001474427,"about_ca_topic_score_gemma":7.084835e-7,"domain_scores_codex":[0.9990054,0.00003456735,0.0003615502,0.0001884724,0.0002701613,0.0001397969],"domain_scores_gemma":[0.9982751,0.001146704,0.0001809619,0.0002365278,0.0000924944,0.00006821784],"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":[0.000005188077,0.000007713492,0.0002487121,0.002085852,0.00001306715,0.000003690169,0.00002186194,0.0000096289,8.77727e-9,0.01209098,0.00001387391,0.9854994],"study_design_scores_gemma":[0.001091856,0.00001761711,0.0001646679,0.0148673,0.0005233051,0.00003305645,0.00008144121,0.0007431995,3.243593e-7,0.0002239779,0.982128,0.0001252305],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004814385,0.9917175,0.0001074701,0.0001849862,0.0001719468,0.0003095018,0.00000200014,0.00001035153,0.007491478],"genre_scores_gemma":[0.001478187,0.9974691,0.0003603318,0.0002609468,0.00002453535,0.000003947249,0.000002454116,0.000004182419,0.0003963215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9853742,"threshold_uncertainty_score":0.4755877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06977676407531161,"score_gpt":0.3818662960067307,"score_spread":0.3120895319314191,"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."}}