{"id":"W2915038899","doi":"10.31557/apjcp.2019.20.1.97","title":"Setting Priorities in Childhood Cancer in Low Income Countries Using Nominal Group Technique: Experience from an International Childhood Cancer Forum Exercise in Bangladesh","year":2019,"lang":"en","type":"article","venue":"Asian Pacific Journal of Cancer Prevention","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"BC Cancer Agency; Medical Research Council; Ministry of Health and Family Welfare; Central Queensland University; Canadian Centre for Applied Research in Cancer Control; BC Children's Hospital","keywords":"Childhood cancer; Developing country; Cancer; Low income; Medicine; Environmental health; Socioeconomics; Economic growth; Economics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00191662,0.0002142848,0.0004369282,0.0008523853,0.0001260044,0.0002033762,0.0007651069,0.0002297401,0.0007058376],"category_scores_gemma":[0.00007904313,0.0002306611,0.0001122915,0.0007295177,0.0001950852,0.002408323,0.0001008161,0.0007549333,0.000001597274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225197,"about_ca_system_score_gemma":0.001257231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01850876,"about_ca_topic_score_gemma":0.04186371,"domain_scores_codex":[0.996613,0.0004020226,0.0009509932,0.0003805654,0.001068587,0.0005847808],"domain_scores_gemma":[0.9987293,0.00007545091,0.0006425015,0.000207081,0.0002215198,0.0001241604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001804975,0.0002355951,0.9195473,0.00004945569,0.00002632333,0.00004168275,0.03438353,0.0003868721,0.001517297,0.0001886631,0.00001620445,0.04342661],"study_design_scores_gemma":[0.001750762,0.0001155205,0.9297472,0.01250828,0.00001971569,0.0000109163,0.04841574,0.0004075524,0.001915934,0.004076775,0.0005843815,0.0004471822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935736,0.001908,0.000257408,0.001537929,0.0009494829,0.001100363,0.00006151569,0.0000254293,0.0005862538],"genre_scores_gemma":[0.9950821,0.002942102,0.001240083,0.00002400081,0.0003246807,0.0002851882,0.000004529513,0.00003049753,0.00006683223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297942,"threshold_uncertainty_score":0.9880271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679851474492775,"score_gpt":0.3878737961799929,"score_spread":0.3710752814350651,"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."}}