{"id":"W4399068281","doi":"10.1016/s1470-2045(24)00038-x","title":"Addressing challenges in low-income and middle-income countries through novel radiotherapy research opportunities","year":2024,"lang":"en","type":"review","venue":"The Lancet Oncology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Health and Medical Research Council; Medical Research Council; National Institutes of Health; Associazione Italiana per la Ricerca sul Cancro; Astellas Pharma; Cancer Institute NSW; European SocieTy for Radiotherapy and Oncology; National Cancer Institute; Accuray; Australian Government; Fondazione Istituto Europeo di Oncologia e Centro Cardiologico Monzino; Huntsman Cancer Institute","keywords":"Low and middle income countries; Low income; Business; Economic growth; Economics; Demographic economics; Developing country","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780856,0.0005285874,0.0008851017,0.001622664,0.00045812,0.002241336,0.0008960429,0.002021349,0.007631],"category_scores_gemma":[0.003684704,0.0002104883,0.0008111483,0.001965281,0.000948883,0.002696685,0.001905715,0.002425173,0.002165813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247843,"about_ca_system_score_gemma":0.004759984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188571,"about_ca_topic_score_gemma":0.004503821,"domain_scores_codex":[0.9993731,0.0002745529,0.00005169817,0.00006794158,0.0001400883,0.00009258604],"domain_scores_gemma":[0.9982262,0.001124816,0.0001609626,0.00005252922,0.0003002661,0.0001352154],"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":[0.00006438216,0.00006735665,0.0005100716,0.02193215,0.0001228132,0.0003380917,0.0005008296,0.0006198432,0.0007193314,0.02672718,0.06750946,0.8808884],"study_design_scores_gemma":[0.00001335898,0.00007377583,0.0007104903,0.009356227,0.00006129908,0.0005659716,0.0005041935,0.00006887348,0.0002367922,0.007726036,0.980667,0.00001593998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002427856,0.9873352,0.0003400449,0.008317506,0.0007015206,0.00001223986,0.00004332187,0.00001279125,0.002994593],"genre_scores_gemma":[0.002347668,0.9940127,0.0005436363,0.00177455,0.0005745896,0.00001835464,0.00004648794,0.000004914689,0.0006771614],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007631,"threshold_uncertainty_score":0.02552825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6226939617834713,"score_gpt":0.5649439755476936,"score_spread":0.05774998623577765,"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."}}