{"id":"W1991426852","doi":"10.1007/s11548-015-1192-3","title":"Detection and visualization of dural pulsation for spine needle interventions","year":2015,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Imaging phantom; Visualization; Epidural space; Palpation; Ultrasound; Radiology; Computer science; Computer vision; Surgery; Artificial intelligence","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":[0.0008868999,0.0004290375,0.0002874027,0.001099222,0.0002995092,0.00118969,0.0003898228,0.001173418,0.001998617],"category_scores_gemma":[0.00553342,0.0003993183,0.0002014818,0.000344847,0.0004346409,0.001401287,0.000771923,0.001015827,0.0003764562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658889,"about_ca_system_score_gemma":0.0004572405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003747215,"about_ca_topic_score_gemma":0.0004154118,"domain_scores_codex":[0.99965,0.000119242,0.00003204979,0.00004032011,0.0001055268,0.00005284626],"domain_scores_gemma":[0.9983431,0.001057857,0.0001640672,0.00009981496,0.0002048111,0.0001303075],"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":[0.003837629,0.0001888196,0.02569168,0.0008405811,0.00007183411,0.005577607,0.0005709702,0.001106461,0.6429389,0.0009699187,0.002055573,0.3161501],"study_design_scores_gemma":[0.0004335265,0.003944792,0.1569747,0.000825204,0.0006497586,0.07212945,0.001030327,0.07941394,0.6600447,0.003302485,0.02097398,0.0002771528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352946,0.01304307,0.2406773,0.001611419,0.0003827852,0.0002631497,0.0003211031,0.001118216,0.00728844],"genre_scores_gemma":[0.9429338,0.002843259,0.052321,0.0002977201,0.0002126296,0.00008240225,0.00008679044,0.0001402849,0.001082052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001998617,"threshold_uncertainty_score":0.006685972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469697397082453,"score_gpt":0.2985631577782151,"score_spread":0.2638661838073906,"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."}}