{"id":"W2985431943","doi":"10.1016/j.semradonc.2019.09.001","title":"Brachytherapy Future Directions","year":2019,"lang":"en","type":"article","venue":"Seminars in Radiation Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Brachytherapy; Medicine; Medical physics; Workflow; Radiation treatment planning; Modality (human–computer interaction); Radiation therapy; Radiology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001174371,0.0000975381,0.0001732747,0.0001236008,0.00003761089,0.000007288022,0.00009454603,0.00008620253,0.001692518],"category_scores_gemma":[0.000002133803,0.0001011856,0.0000466497,0.0002327141,0.00002361522,0.0001359928,0.000009191209,0.0001915689,0.00003286182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903188,"about_ca_system_score_gemma":0.00006044316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003197285,"about_ca_topic_score_gemma":0.000006487052,"domain_scores_codex":[0.9993351,0.00006909153,0.0001693553,0.0001921334,0.00006093574,0.0001733593],"domain_scores_gemma":[0.9995826,0.00009021658,0.00009772902,0.0001793125,0.0000194399,0.00003072457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002429954,0.000125679,0.2363676,0.000002277191,0.00001973056,0.000001260025,0.0008212649,0.0001706542,0.002038194,0.01228311,0.002008649,0.7461373],"study_design_scores_gemma":[0.0006124328,0.0001660739,0.01049467,0.000008494801,0.00000256839,0.00000263218,0.000227583,0.0004808953,0.001213054,0.00289186,0.9837695,0.0001302551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715379,0.005429638,0.02208507,0.003207197,0.003177872,0.001302733,0.00003400744,0.0003372449,0.0928884],"genre_scores_gemma":[0.9518102,0.003244302,0.03644384,0.0009109564,0.002043239,0.0002910777,0.0001036447,0.00006884674,0.005083887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9817609,"threshold_uncertainty_score":0.9992201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004432647838537044,"score_gpt":0.3050300771424403,"score_spread":0.3005974293039033,"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."}}