{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004577418,0.0001736119,0.0002087448,0.00002932975,0.00005139244,0.00002289038,0.00004222556,0.00007399752,0.000002810073],"category_scores_gemma":[0.00001095324,0.0001546082,0.00004633274,0.00005991503,0.00004173012,0.00001557809,0.000008875774,0.00002609964,3.070717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002683228,"about_ca_system_score_gemma":0.00003352878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008059473,"about_ca_topic_score_gemma":0.00008656576,"domain_scores_codex":[0.9992059,0.00003427007,0.000225662,0.0003107887,0.00006938294,0.00015394],"domain_scores_gemma":[0.9996079,0.00003541104,0.0001388568,0.0001288395,0.00004202548,0.00004694741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001800108,0.0001586344,0.1694096,0.00003051715,0.0001487489,0.000004050981,0.001355182,0.00005501988,0.8125294,0.00003148718,0.00003790445,0.01443932],"study_design_scores_gemma":[0.004646353,0.00126321,0.9222441,0.00003605742,0.00003260886,0.0001362762,0.0001398189,0.000192764,0.0661091,0.00001204858,0.004937885,0.0002498305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959501,0.0005291451,0.002064167,0.0005824667,0.00004374356,0.0004606019,0.0003483963,0.00001196853,0.000009408654],"genre_scores_gemma":[0.9965845,0.0008713561,0.0006551389,0.0004465308,0.0001791,0.0001021614,0.001099843,0.0000242837,0.00003704756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7528345,"threshold_uncertainty_score":0.630474,"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."}}