{"id":"W6902232282","doi":"10.6084/m9.figshare.21259034.v1","title":"Additional file 1 of Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Table (database); Decision table; Workforce; Expert system; Diagnostic test","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":[0.001812306,0.000902899,0.0006514812,0.001153021,0.0004138665,0.001212495,0.001980613,0.001158252,0.7248709],"category_scores_gemma":[0.01563698,0.0004660422,0.0007765716,0.002006246,0.000176847,0.001276266,0.0006234596,0.0008661341,0.06234715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017358,"about_ca_system_score_gemma":0.001966101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01946114,"about_ca_topic_score_gemma":0.02567192,"domain_scores_codex":[0.9995373,0.0001644627,0.00003423627,0.00009709749,0.00008887915,0.00007798983],"domain_scores_gemma":[0.9861894,0.01199856,0.0003215956,0.0004226849,0.0008830559,0.000184711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002876087,0.0001926565,0.005394128,0.001688176,0.00008958268,0.0001195524,0.00008862289,0.1090466,0.0001332463,0.01216303,0.8562025,0.0145943],"study_design_scores_gemma":[0.002875761,0.000318286,0.008844897,0.00119931,0.0001692374,0.000213022,0.000723651,0.3916252,0.0009662759,0.05040103,0.5425546,0.0001086861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001617734,0.00003377055,0.005006221,0.0005055243,0.00004105436,0.0001999391,0.982169,0.0007848704,0.009641902],"genre_scores_gemma":[0.1396592,0.0003149903,0.05273551,0.0008566917,0.00017129,0.003461326,0.7671581,0.002380283,0.03326264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7248709,"threshold_uncertainty_score":0.3924383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09368105921117408,"score_gpt":0.3813552593933817,"score_spread":0.2876742001822076,"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."}}