{"id":"W2051558301","doi":"10.1016/j.media.2010.07.008","title":"Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine","year":2010,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; National Research Council Canada; University of British Columbia; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Image registration; Artificial intelligence; Curvature; Computer science; Displacement (psychology); Medicine; Metric (unit); Volume (thermodynamics); Computer vision; Cadaver; Similarity (geometry); Radiology; Mathematics; Image (mathematics); Anatomy","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":[0.0004115602,0.0003751247,0.0003610078,0.0009104472,0.000251221,0.0008441444,0.0005100337,0.0006526691,0.002932745],"category_scores_gemma":[0.002968361,0.0003589797,0.0004357473,0.0007579239,0.0004543298,0.0004404664,0.0008129222,0.0004778664,0.0007718675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460306,"about_ca_system_score_gemma":0.001055683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653221,"about_ca_topic_score_gemma":0.005564181,"domain_scores_codex":[0.9997624,0.00008361223,0.0000162529,0.0000392814,0.00008075215,0.00001771215],"domain_scores_gemma":[0.9996173,0.0001626765,0.00006595715,0.00007006894,0.00006339118,0.00002044577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000846717,0.0003901365,0.005691124,0.0005135929,0.0001514407,0.0004060431,0.0005333688,0.2799544,0.3360625,0.008418637,0.002940767,0.3640913],"study_design_scores_gemma":[0.00004890846,0.0003956086,0.02130092,0.00007545658,0.0001146046,0.0009373298,0.0002492806,0.8769629,0.08606035,0.007741546,0.006048854,0.0000641962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2900092,0.0005000987,0.7047276,0.0003369305,0.0001035075,0.0001516492,0.0003073942,0.0006628277,0.003200865],"genre_scores_gemma":[0.8720483,0.0004885889,0.1221817,0.0001071633,0.00006454033,0.0001336543,0.0003608558,0.0002909909,0.004324177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003653221,"threshold_uncertainty_score":0.009811044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003589663474983332,"score_gpt":0.229809595028521,"score_spread":0.2262199315535377,"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."}}