{"id":"W2063187227","doi":"10.1007/s11548-014-1099-4","title":"Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery","year":2014,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Resection; Neurosurgery; Magnetic resonance imaging; Craniotomy; Medicine; Radiology; Ultrasound; Computer science; Surgery","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":[0.0004698556,0.0004540901,0.0004044267,0.001572658,0.0002322409,0.001077467,0.000553996,0.000924254,0.003044043],"category_scores_gemma":[0.002378087,0.0003919605,0.0007307227,0.001242974,0.0003535037,0.00057963,0.0006289372,0.0008098123,0.001066868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004114245,"about_ca_system_score_gemma":0.001018182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006106671,"about_ca_topic_score_gemma":0.006850399,"domain_scores_codex":[0.999661,0.00004530686,0.00003751353,0.00009469419,0.0001096717,0.0000518628],"domain_scores_gemma":[0.9995945,0.0001102619,0.00005455534,0.0001166269,0.00009891912,0.00002510545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001681444,0.000306222,0.01348821,0.0005102396,0.0002374899,0.00168178,0.0008741263,0.1282766,0.1913522,0.004060132,0.008694725,0.6488369],"study_design_scores_gemma":[0.00007819387,0.000460465,0.0793485,0.0001204577,0.0002902339,0.005940581,0.0005459028,0.7439542,0.139945,0.004891241,0.02418243,0.0002427135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.43677,0.001505868,0.5425815,0.0008689445,0.0005497287,0.0004199069,0.003123614,0.005373034,0.00880741],"genre_scores_gemma":[0.8735765,0.0009533459,0.1165414,0.0001903246,0.00009561302,0.0001481083,0.002805984,0.0006938547,0.004995035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006106671,"threshold_uncertainty_score":0.01214224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137474109823947,"score_gpt":0.2598804338293147,"score_spread":0.2485056927310752,"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."}}