{"id":"W2798069311","doi":"10.1186/s12961-017-0268-7","title":"The quest for a framework for sustainable and institutionalised priority-setting for health research in a low-resource setting: the case of Zambia","year":2018,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Global Health and Surgery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Health services research; Health administration; Process (computing); Resource (disambiguation); Health policy; Medicine; Business; Public health; Public relations; Nursing; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"incentives","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"incentives","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07008284,0.0001500324,0.000547541,0.0005094556,0.004600424,0.0001658933,0.0001651407,0.0001904148,4.123466e-7],"category_scores_gemma":[0.02763744,0.00009581172,0.00006777002,0.001019818,0.001013249,0.0000760664,0.0001230583,0.0007623143,5.678339e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007975221,"about_ca_system_score_gemma":0.009255248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02911275,"about_ca_topic_score_gemma":0.002345915,"domain_scores_codex":[0.9930359,0.002103999,0.0009807006,0.0004514595,0.0006413313,0.002786664],"domain_scores_gemma":[0.974658,0.02130937,0.0002557562,0.0005142878,0.002286686,0.000975884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003519341,0.0001596617,0.00137563,0.04030192,0.00002944618,0.00004427152,0.006719572,0.000002626956,0.000005027387,0.8689643,0.06079762,0.01808056],"study_design_scores_gemma":[0.00444353,0.005442463,0.002011006,0.005696625,0.000006155276,0.0006974041,0.04379629,0.01343135,0.000013059,0.03376629,0.8905178,0.0001779894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4101355,0.02728562,0.002564634,0.515626,0.0003514007,0.04252295,0.000562394,0.0000604001,0.0008910628],"genre_scores_gemma":[0.9908321,0.0006374291,0.0005987999,0.00284935,0.001968684,0.002288418,0.00002380069,0.00003037752,0.0007710721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.835198,"threshold_uncertainty_score":0.9966955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2380991184072745,"score_gpt":0.553165129415467,"score_spread":0.3150660110081925,"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."}}