{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004066796,0.0002933895,0.000449741,0.0001170077,0.0002762205,0.00001558729,0.0002317384,0.00006972678,0.0001015806],"category_scores_gemma":[0.000006166934,0.0002950809,0.0001279337,0.0002644949,0.00006728151,0.000009534337,0.0002162131,0.0002128698,0.000001563489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690622,"about_ca_system_score_gemma":0.0001112223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006714513,"about_ca_topic_score_gemma":0.0001129618,"domain_scores_codex":[0.997811,0.0003619643,0.0004558677,0.0006222049,0.0003307045,0.0004182757],"domain_scores_gemma":[0.9991941,0.00003118504,0.0002099521,0.0004457492,0.00005205131,0.00006700434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002218214,0.002139198,0.9735664,0.00001298966,0.0002183988,0.0001903472,0.002316898,0.008073678,0.01046027,0.00001061589,0.00008450023,0.0007084731],"study_design_scores_gemma":[0.007219615,0.001201575,0.9837024,0.00001614566,0.00002625628,0.001209875,0.003648861,0.000435846,0.0005290111,0.00002944078,0.001599885,0.0003811051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964402,0.002238254,0.00003688106,0.000113202,0.0001969852,0.0005703245,0.000309215,0.00002034622,0.00007457516],"genre_scores_gemma":[0.9990321,0.00003718773,0.0002886251,0.0001065181,0.0001065602,0.0001224924,0.0002175869,0.00004738062,0.00004158373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013597,"threshold_uncertainty_score":0.9999501,"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."}}