{"id":"W2526717027","doi":"10.17269/cjph.107.5511","title":"Building the capacity to solve complex health challenges in sub-Saharan Africa: CARTA’S multidisciplinary PhD training","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"National Institute for Health and Care Research; Wellcome Trust; Styrelsen för Internationellt Utvecklingssamarbete; Carnegie Corporation of New York; John D. and Catherine T. MacArthur Foundation; Ford Foundation","keywords":"Multidisciplinary approach; Training (meteorology); Geography; Sociology; Social science; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02601643,0.0001762606,0.0005512306,0.001495479,0.0008651423,0.0003609884,0.001262937,0.00006749816,0.0001113711],"category_scores_gemma":[0.003747273,0.00009752651,0.000123826,0.001476092,0.0002113954,0.0007902654,0.00008549371,0.000430678,0.00004682247],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869168,"about_ca_system_score_gemma":0.01790212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969751,"about_ca_topic_score_gemma":0.5172672,"domain_scores_codex":[0.9941927,0.001353999,0.001356392,0.0003778929,0.001200492,0.001518538],"domain_scores_gemma":[0.993389,0.001029197,0.0006019736,0.000466691,0.0009298816,0.003583295],"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":[0.00004927473,0.00006172103,0.002344893,0.0000224107,0.00003057666,0.00009222035,0.08982779,0.00006569274,0.000408556,0.01433848,0.1154046,0.7773538],"study_design_scores_gemma":[0.001794919,0.00293693,0.3032291,0.0006018481,0.000002785381,0.0003286251,0.07722459,0.0005679697,0.00002968088,0.02619475,0.5866263,0.0004625247],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.33139,0.003675433,0.007734155,0.6551664,0.00058194,0.0004375353,0.0001132053,0.000007222915,0.0008941102],"genre_scores_gemma":[0.9969507,0.0002301704,0.001481438,0.0008373021,0.0003927431,0.00001254478,8.799197e-7,0.00001571615,0.00007848422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7768913,"threshold_uncertainty_score":0.9876655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6121433632410795,"score_gpt":0.4517701925508663,"score_spread":0.1603731706902132,"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."}}