{"id":"W6986710710","doi":"","title":"Quantifying Timely Access to Surgery: A Global Modelling Study","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comparability; Geospatial analysis; Metric (unit); Population; Regression analysis; Commission; Quarter (Canadian coin); Data access","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005067482,0.001096303,0.0009614872,0.002115299,0.0004816233,0.002151174,0.001950148,0.001951311,0.003884781],"category_scores_gemma":[0.01215523,0.0005642906,0.003479327,0.004267369,0.001011836,0.002940982,0.002386284,0.002192591,0.0006664022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619258,"about_ca_system_score_gemma":0.001506318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0766534,"about_ca_topic_score_gemma":0.03628544,"domain_scores_codex":[0.9984217,0.0009128178,0.00006450179,0.0002709197,0.00009338477,0.0002366982],"domain_scores_gemma":[0.9909948,0.006801844,0.0008325703,0.0005055043,0.0005901569,0.0002750238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002493517,0.0002523853,0.08919355,0.0003153804,0.0006291358,0.000428315,0.0006814201,0.8724251,0.0002375741,0.0180219,0.006618094,0.01094774],"study_design_scores_gemma":[0.0001177655,0.0002594395,0.02703444,0.0001433783,0.0002380373,0.0001626058,0.000949847,0.9518875,0.0002041341,0.01290084,0.006002958,0.00009900497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256126,0.002077367,0.03871377,0.006369045,0.0001780648,0.0002215135,0.01139254,0.0003821822,0.0150528],"genre_scores_gemma":[0.9813694,0.001039157,0.01023299,0.0003243515,0.00005274918,0.0001744106,0.004538115,0.0001122388,0.002156634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0766534,"threshold_uncertainty_score":0.1524144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3073009441369196,"score_gpt":0.4127367678243449,"score_spread":0.1054358236874253,"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."}}