{"id":"W2151575379","doi":"10.1016/j.ijrobp.2015.10.063","title":"Closing the Cancer Divide Through Ubuntu: Information and Communication Technology-Powered Models for Global Radiation Oncology","year":2015,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; SAIT Polytechnic","funders":"National Cancer Institute; Varian Medical Systems; Brigham and Women's Hospital","keywords":"Medicine; Radiation oncology; Closing (real estate); Medical physics; Oncology; Cancer; Radiation therapy; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001094294,0.0002175055,0.0005355214,0.0001393078,0.000211326,0.00003664547,0.0005343667,0.0005513505,0.00001000373],"category_scores_gemma":[0.0007177662,0.000165113,0.0001470929,0.0002731921,0.0006174741,0.00125028,0.00009678413,0.000549656,0.000004747057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00228837,"about_ca_system_score_gemma":0.001376622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003019364,"about_ca_topic_score_gemma":0.00001760166,"domain_scores_codex":[0.9980946,0.0002644328,0.0009305574,0.0001986889,0.000253122,0.0002585956],"domain_scores_gemma":[0.99591,0.0006558981,0.001648623,0.0002566902,0.001417927,0.0001107944],"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":[0.001639824,0.0003002688,0.05730867,0.00001302683,0.0007731665,0.00000490387,0.002314487,0.006099105,0.0002305137,0.1452301,0.004387898,0.781698],"study_design_scores_gemma":[0.01342744,0.002307787,0.002680029,0.00008641774,0.0003140668,0.0005830353,0.0007202454,0.01947574,0.0006042019,0.4240359,0.5355193,0.0002457948],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1476576,0.02105363,0.7248629,0.09429056,0.007233153,0.00153265,0.0002084556,0.0001487151,0.003012297],"genre_scores_gemma":[0.9327893,0.01562305,0.04209183,0.006636401,0.002488576,0.0001187568,0.00019886,0.00002696528,0.00002626835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7851316,"threshold_uncertainty_score":0.6733112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0356750683327962,"score_gpt":0.4168635263833061,"score_spread":0.3811884580505099,"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."}}