{"id":"W6958212614","doi":"10.6084/m9.figshare.15079877.v1","title":"Additional file 10 of Combining evidence and values in priority setting: testing the balance sheet method in a low-income country","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Balance sheet; Balance (ability); Key (lock); Table (database)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006747766,0.001237311,0.001882547,0.003599132,0.001279055,0.003431914,0.002761731,0.001833444,0.9171594],"category_scores_gemma":[0.1775922,0.001116943,0.002298965,0.005559106,0.0005991862,0.003852961,0.002037958,0.001629237,0.1219847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835096,"about_ca_system_score_gemma":0.003813717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749396,"about_ca_topic_score_gemma":0.02110876,"domain_scores_codex":[0.9969608,0.001281372,0.0005664435,0.0003985253,0.0004806432,0.0003122675],"domain_scores_gemma":[0.7700257,0.2062785,0.005940668,0.006019606,0.01028674,0.001448828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000910682,0.0001804072,0.002555417,0.004920268,0.0001973295,0.00008500183,0.0001807376,0.0007212246,0.00002570334,0.002486142,0.979126,0.008611153],"study_design_scores_gemma":[0.08808798,0.001031316,0.06234448,0.01786884,0.001874892,0.0009740299,0.002746913,0.008938307,0.0008566682,0.05386201,0.7608972,0.0005173633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006310669,0.00003427914,0.000477471,0.0003977357,0.00007432098,0.0006701447,0.992999,0.0003145252,0.004401357],"genre_scores_gemma":[0.06801957,0.0005232206,0.02509575,0.002673354,0.0004490724,0.03609721,0.818716,0.003845406,0.04458051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9171594,"threshold_uncertainty_score":0.1181619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3343530025309698,"score_gpt":0.4189494619447608,"score_spread":0.08459645941379096,"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."}}