{"id":"W3083388528","doi":"10.1016/j.brachy.2020.07.010","title":"Characterization and registration of 3D ultrasound for use in permanent breast seed implant brachytherapy treatment planning","year":2020,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"BC Cancer Foundation","keywords":"Medicine; Imaging phantom; 3D ultrasound; Context (archaeology); Brachytherapy; Image registration; Ultrasound; Radiation treatment planning; Computed tomography; Medical physics; Nuclear medicine; Artificial intelligence; Radiology; Computer science; Radiation therapy; 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":[0.001153821,0.0002777112,0.0003000992,0.0007570625,0.0002381667,0.0009609313,0.0003966775,0.000620261,0.00157788],"category_scores_gemma":[0.003155561,0.0003756084,0.0002916891,0.0008692961,0.0004812917,0.000415281,0.0002689748,0.0003069414,0.0004130526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148507,"about_ca_system_score_gemma":0.000506882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202442,"about_ca_topic_score_gemma":0.001013889,"domain_scores_codex":[0.9993811,0.0002326167,0.00003511792,0.00008985276,0.0002142338,0.0000470936],"domain_scores_gemma":[0.9986129,0.0006453388,0.0002333703,0.000199374,0.0002649774,0.00004401926],"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":[0.0002479646,0.00004559857,0.00288463,0.00008934095,0.00001107191,0.00007659984,0.0002472506,0.001557912,0.980157,0.0003404902,0.0001077627,0.01423445],"study_design_scores_gemma":[0.00001743164,0.0007670014,0.02527101,0.00001811816,0.00007308013,0.000751541,0.0002095296,0.01414307,0.9541361,0.0001695273,0.004399346,0.00004427958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813028,0.002984323,0.1105336,0.0001536216,0.0000534686,0.0001732662,0.0003449331,0.0004067723,0.004047176],"genre_scores_gemma":[0.9555143,0.0006911553,0.04146106,0.00005401461,0.00001634841,0.0001135199,0.0002678681,0.0001690908,0.001712636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00157788,"threshold_uncertainty_score":0.006102085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428313578223004,"score_gpt":0.268399681838598,"score_spread":0.244116546056368,"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."}}