{"id":"W2084540039","doi":"10.1109/rose.2013.6698412","title":"Robot ontologies for sensor- and Image-guided surgery","year":2013,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Robot; Robotics; Artificial intelligence; Computer science; Human–computer interaction; Ontology; Terminology; Service (business); Teleoperation","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":[0.0001241546,0.0001027197,0.0001489151,0.00002373927,0.00005429889,0.00003363557,0.00006994777,0.0001513978,0.00004578853],"category_scores_gemma":[0.0005441849,0.00007553828,0.00006501866,0.00002566215,0.0001897398,0.000002399454,0.0000648132,0.00003267413,0.00001392906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000271926,"about_ca_system_score_gemma":0.00002381348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007124337,"about_ca_topic_score_gemma":0.000015032,"domain_scores_codex":[0.9993323,0.00002146598,0.0001435114,0.0002362151,0.00004641262,0.0002201129],"domain_scores_gemma":[0.9995573,0.0001090516,0.0000339469,0.0001630435,0.00007240032,0.00006422653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002754039,0.00003667542,0.007342475,0.0000534857,0.00006275281,0.000001792626,0.00002290858,8.956687e-7,0.5762993,0.00009074288,0.2987699,0.1172916],"study_design_scores_gemma":[0.001398501,0.0006452844,0.09015106,0.00003236228,0.00004790337,0.0001449955,0.001393697,0.0004344204,0.5748745,0.002254137,0.3276513,0.000971837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709018,0.0009488271,0.02176679,0.003593132,0.0001921884,0.0002746493,0.000008269427,0.00008493026,0.002229381],"genre_scores_gemma":[0.9087501,0.0002893665,0.08364636,0.0009743166,0.0001867583,0.000115293,0.00005754584,0.000017241,0.005963047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163197,"threshold_uncertainty_score":0.3080361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760319281910866,"score_gpt":0.2899775687350227,"score_spread":0.2523743759159141,"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."}}