{"id":"W4306173727","doi":"10.1016/j.brachy.2022.09.005","title":"Feasibility study of defining planning target volume using surgical margins in permanent breast seed implant brachytherapy","year":2022,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; BC Cancer Foundation","keywords":"Medicine; Brachytherapy; Margin (machine learning); Radiation treatment planning; Nuclear medicine; Implant; Retrospective cohort study; Surgery; Radiation therapy","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":[0.001463663,0.000317375,0.0002626039,0.0002584087,0.0002245493,0.0004693801,0.0005467719,0.0003105821,0.001557211],"category_scores_gemma":[0.001643941,0.0002698777,0.0002037142,0.0002133826,0.0004758441,0.0004504538,0.0003488899,0.0003419083,0.0001599199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198463,"about_ca_system_score_gemma":0.0006604453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008087403,"about_ca_topic_score_gemma":0.0005298834,"domain_scores_codex":[0.999629,0.0001758336,0.00001873592,0.00005421728,0.00008954173,0.0000327468],"domain_scores_gemma":[0.9993451,0.0004129367,0.00007671712,0.00006641993,0.00006606173,0.0000326431],"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":[0.01075017,0.0007154883,0.02750911,0.0006052907,0.0000420365,0.0008443342,0.001226338,0.009485851,0.8858866,0.002363988,0.0002915205,0.06027938],"study_design_scores_gemma":[0.0006749121,0.04167266,0.08218467,0.0000812955,0.0003357035,0.00620498,0.001145426,0.03956437,0.8172609,0.00133693,0.009441459,0.00009663807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469097,0.001861183,0.04740803,0.00008036877,0.0000490839,0.0002481496,0.00007655513,0.00009537948,0.003271469],"genre_scores_gemma":[0.9902062,0.0002289483,0.008940653,0.00001277838,0.00001147535,0.0000645511,0.00002877407,0.00003048666,0.0004761892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001557211,"threshold_uncertainty_score":0.007740676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171638805124308,"score_gpt":0.3008418394704656,"score_spread":0.2791254514192225,"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."}}