{"id":"W4320890725","doi":"10.1088/1361-6560/acbc63","title":"Applying the column generation method to the intensity modulated high dose rate brachytherapy inverse planning problem","year":2023,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brachytherapy; Computer science; Column generation; Dwell time; Radiation treatment planning; Histogram; Nuclear medicine; Mathematical optimization; Algorithm; Mathematics; Radiation therapy; Medicine; Artificial intelligence; Radiology","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":[0.0007457628,0.0007260321,0.0005881506,0.0005980001,0.0003860811,0.0006830274,0.00063046,0.0007598501,0.002399657],"category_scores_gemma":[0.001578387,0.0005724917,0.0007399804,0.0007307854,0.0005238811,0.0003062878,0.0005929453,0.0005739584,0.0002627261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009372503,"about_ca_system_score_gemma":0.001511941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418558,"about_ca_topic_score_gemma":0.0107586,"domain_scores_codex":[0.9996548,0.0001699306,0.00001068326,0.0000398041,0.00009011545,0.00003465636],"domain_scores_gemma":[0.9990745,0.000689307,0.00005909787,0.00002932171,0.000120415,0.00002745045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003878401,0.00001652056,0.0003263972,0.0000556556,0.00002418596,0.00005520142,0.00002922934,0.976276,0.001389925,0.001397823,0.0006266841,0.01976364],"study_design_scores_gemma":[0.0000107454,0.00001809937,0.00009141992,0.000003898826,0.000005990266,0.00001956475,0.000004979954,0.9986513,0.0004266282,0.0004824645,0.0002811239,0.000003841119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02672625,0.0002617702,0.9697403,0.0001857346,0.00002569257,0.0001072489,0.00007732674,0.0003083656,0.002567242],"genre_scores_gemma":[0.4193483,0.0002397219,0.5765978,0.0001465199,0.00004567548,0.0003184255,0.0002846521,0.0002313152,0.002787601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418558,"threshold_uncertainty_score":0.02820599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683913349893902,"score_gpt":0.4174977254910874,"score_spread":0.2491063905016972,"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."}}