{"id":"W4402142990","doi":"10.18103/mra.v12i8.5530","title":"Tackling the radiotherapy (RT) shortage in Sub-Saharan Africa by gathering and using data from LMICs and HICs facilities for designing a future robust RT facility","year":2024,"lang":"en","type":"article","venue":"Medical Research Archives","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; University of Oxford","keywords":"Economic shortage; Data collection; Computer science; Data science; Operations research; Engineering; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016263,0.000368302,0.0002898125,0.003091027,0.0008978975,0.0009064219,0.0004191541,0.0003243845,0.002379251],"category_scores_gemma":[0.005018706,0.000184461,0.0001756357,0.003135883,0.0001940969,0.001376412,0.001231543,0.0004065857,0.0002926033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119406,"about_ca_system_score_gemma":0.002753274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235647,"about_ca_topic_score_gemma":0.03183091,"domain_scores_codex":[0.9993605,0.0003043997,0.00006570787,0.00004688215,0.0000574787,0.000165046],"domain_scores_gemma":[0.9976826,0.0006415164,0.0009907224,0.00006663386,0.0004303619,0.0001880865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007597313,0.0001361682,0.899305,0.0009875,0.0000525832,0.0009228191,0.007597345,0.00256442,0.002249357,0.0006323174,0.002851664,0.08262485],"study_design_scores_gemma":[0.00001140145,0.0002991916,0.9123785,0.0009118665,0.00005578177,0.0003884928,0.06575891,0.003435968,0.001054322,0.0005927497,0.01508195,0.00003081382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878799,0.001004574,0.003147268,0.001477845,0.00001752637,0.0005026809,0.002750977,0.00002710084,0.003192171],"genre_scores_gemma":[0.9856629,0.00183616,0.009596366,0.0003281991,0.00003958959,0.0006394137,0.001380383,0.00001175943,0.0005052533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235647,"threshold_uncertainty_score":0.04445273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264461197713162,"score_gpt":0.4398796093836215,"score_spread":0.3134334896123053,"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."}}