{"id":"W1762574855","doi":"10.1007/978-3-540-85990-1_84","title":"Software Strategy for Robotic Transperineal Prostate Therapy in Closed-Bore MRI","year":2008,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Center for Research Resources; National Science Foundation; National Cancer Institute; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Ministry of Economy, Trade and Industry; Consortia for Improving Medicine with Innovation and Technology","keywords":"Computer science; Fiducial marker; Software; Artificial intelligence; Computer vision; Workflow; Robot; Visualization","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":[0.00009857074,0.0001317306,0.0001380913,0.0001274741,0.00009491865,0.00004465701,0.0003223975,0.00004919333,0.000002794553],"category_scores_gemma":[0.00001060281,0.000119445,0.00003117567,0.0007465846,0.0001374314,0.0001153105,0.00001554138,0.0001481163,0.00000198938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005381535,"about_ca_system_score_gemma":0.00006814535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001704089,"about_ca_topic_score_gemma":0.00008520523,"domain_scores_codex":[0.9990774,0.000005681918,0.000170469,0.0002825405,0.0001318939,0.0003320538],"domain_scores_gemma":[0.9995637,0.0001218775,0.00001415652,0.0002123062,0.00003755274,0.0000503893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002553087,0.00002060613,0.002626247,0.00001207603,0.00000136906,0.000004066722,0.0006078993,0.8997413,0.0006851523,0.00003672692,0.000005590379,0.0962564],"study_design_scores_gemma":[0.0003991302,0.00007900643,0.01937804,0.0000189113,7.473888e-7,0.00001168833,5.478943e-7,0.9720222,0.005193846,0.002662707,0.0000624537,0.0001707302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388638,0.0001535261,0.8601536,0.0001799467,0.0001902961,0.0003484213,0.000002581123,0.0001046294,0.000003281213],"genre_scores_gemma":[0.8115505,0.00006877047,0.188164,0.00008952501,0.00006373825,0.00004607682,0.000003605818,0.00001323624,5.741933e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6726868,"threshold_uncertainty_score":0.4870826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250996314295067,"score_gpt":0.2548163363150385,"score_spread":0.2323063731720879,"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."}}