{"id":"W2737205779","doi":"10.12688/f1000research.11863.1","title":"We need a NICE for global development spending","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Department for International Development; Department for International Development, UK Government; Bill and Melinda Gates Foundation","keywords":"Negotiation; Health care; Business; Service (business); Economics; Economic growth; Political science; Marketing; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002976128,0.0003016411,0.0008321841,0.0002950274,0.0005776074,0.0004810012,0.001333973,0.0005865737,0.000183783],"category_scores_gemma":[0.0004045533,0.0002841207,0.0002591301,0.0001088178,0.00008026257,0.0001205063,0.001313178,0.0006740313,0.001180709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212064,"about_ca_system_score_gemma":0.0006355141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045555,"about_ca_topic_score_gemma":0.0004123374,"domain_scores_codex":[0.9968886,0.00002985724,0.001044114,0.0009016431,0.0001663675,0.000969434],"domain_scores_gemma":[0.9978303,0.00004071811,0.0005820288,0.001085494,0.0001231932,0.0003383207],"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":[0.0002610692,0.0003975787,0.2674782,0.01332466,0.001095033,0.00008478768,0.004674603,0.000136018,0.00001280229,0.4030152,0.02619694,0.2833231],"study_design_scores_gemma":[0.0007505956,0.0000724544,0.05705922,0.0005668341,0.000002276885,0.00000825765,0.0002133035,0.00113888,0.00004244329,0.09389593,0.8456012,0.0006486097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3764506,0.05055272,0.04426212,0.03082097,0.02187057,0.0162901,0.006687833,0.0006010132,0.4524641],"genre_scores_gemma":[0.943063,0.001579506,0.006517014,0.00007685786,0.001603339,0.001086116,0.0002812319,0.0001171786,0.04567575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8194042,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2650666869829334,"score_gpt":0.4018071687948591,"score_spread":0.1367404818119257,"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."}}