{"id":"W2119222200","doi":"10.1002/rcs.1443","title":"Image-guided techniques in renal and hepatic interventions","year":2012,"lang":"en","type":"review","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychological intervention; Image fusion; Modality (human–computer interaction); Image-guided surgery; Computer science; Image quality; Medical physics; Visualization; Medicine; Magnetic resonance imaging; Medical imaging; Radiology; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001168718,0.0007681882,0.00130639,0.004644209,0.0002908014,0.001121581,0.00104264,0.001278851,0.003404288],"category_scores_gemma":[0.002505775,0.0002675948,0.0009004471,0.004676677,0.0009583457,0.001486062,0.0006621412,0.001268537,0.001338223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587253,"about_ca_system_score_gemma":0.001492667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403683,"about_ca_topic_score_gemma":0.001709291,"domain_scores_codex":[0.9992436,0.0001797577,0.0001575334,0.000108663,0.0002705651,0.00003995572],"domain_scores_gemma":[0.9983929,0.0009339201,0.0003107326,0.0000421384,0.0002727766,0.00004746548],"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":[0.00006213234,0.00004954539,0.0005013871,0.03893764,0.0001114587,0.0004212016,0.0001294879,0.0003438123,0.0006113279,0.002392702,0.007578229,0.948861],"study_design_scores_gemma":[0.00003615254,0.0002772547,0.007498056,0.03834286,0.0005903468,0.01918503,0.0004274495,0.000343219,0.001637239,0.004189085,0.927402,0.0000714213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000112185,0.9989612,0.0001572136,0.00009995719,0.00007347369,0.00000526725,0.000006409256,0.000004144453,0.0005801808],"genre_scores_gemma":[0.001679608,0.9974137,0.000428719,0.0001234111,0.0001520059,0.000009239635,0.00001480141,0.000001785686,0.0001767682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004644209,"threshold_uncertainty_score":0.01138848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050392443818557,"score_gpt":0.3887788656448107,"score_spread":0.283739621262955,"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."}}