{"id":"W2525009116","doi":"","title":"VALIDATION OF ULTRASOUND-CT REGISTRATION ACROSS MULTIPLE PORCINE VERTEBRAE","year":2012,"lang":"en","type":"article","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Cadaver; Image registration; Medicine; Ultrasound; Vertebra; Artificial intelligence; Radiology; Anatomy; Computer science; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004855359,0.0005978252,0.000480548,0.000914568,0.0005124345,0.0007801861,0.0008194408,0.001052055,0.001273768],"category_scores_gemma":[0.009770724,0.0004891495,0.0005682005,0.0006565665,0.001442697,0.0005469786,0.00125226,0.000642975,0.0005613659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058821,"about_ca_system_score_gemma":0.0006027757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475205,"about_ca_topic_score_gemma":0.002011759,"domain_scores_codex":[0.9972103,0.0007512023,0.0003703156,0.0005768135,0.0009719555,0.0001194037],"domain_scores_gemma":[0.9944139,0.001693396,0.000915768,0.001855114,0.001033628,0.0000882512],"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":[0.0006443714,0.0002256546,0.01246035,0.0003498309,0.0001989926,0.0008574818,0.0006371492,0.02685258,0.9050706,0.0009334652,0.0005050586,0.05126446],"study_design_scores_gemma":[0.0001121043,0.005139353,0.05888265,0.000153259,0.0004504708,0.007925112,0.0005483494,0.08027861,0.836386,0.0007217964,0.009268443,0.0001338513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992984,0.0009089747,0.2956981,0.000191244,0.0001500161,0.0004487704,0.0004431313,0.0006797059,0.002181613],"genre_scores_gemma":[0.8572742,0.000550792,0.1391637,0.0001640213,0.00002324152,0.0003740164,0.0008963636,0.0002706589,0.001283059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004855359,"threshold_uncertainty_score":0.02567792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404677929869964,"score_gpt":0.2550407059294055,"score_spread":0.2409939266307059,"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."}}