{"id":"W4205288848","doi":"10.1016/j.jval.2021.11.612","title":"POSB174 Clinical and Economic Impact of Non-Pharmacological Interventions on the COVID-19 Pandemic: A Predictive Model Based on the Spanish Case","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Psychological intervention; Economic impact analysis; Gross domestic product; Quarter (Canadian coin); Index (typography); Health care; Econometrics; Healthcare system; Economic cost; Economics; Development economics; Medicine; Geography; Economic growth; Disease; Infectious disease (medical specialty); Computer science","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":[0.004114022,0.001129687,0.001980148,0.001721134,0.0005801293,0.00313652,0.001721294,0.00308356,0.01567879],"category_scores_gemma":[0.00923368,0.0006474504,0.002112343,0.001375976,0.001143681,0.001105344,0.001154307,0.003099133,0.001359564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003817664,"about_ca_system_score_gemma":0.002541371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0980152,"about_ca_topic_score_gemma":0.03338084,"domain_scores_codex":[0.9989523,0.0005108285,0.00002829938,0.0001309631,0.00005984308,0.0003177013],"domain_scores_gemma":[0.9949573,0.003831752,0.0003417881,0.000167095,0.0003969408,0.0003051152],"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":[0.001639631,0.000671452,0.04175015,0.0001715368,0.0004969079,0.0009731872,0.0001635616,0.8703206,0.0001916533,0.04627381,0.01748838,0.01985908],"study_design_scores_gemma":[0.0003627662,0.0002631806,0.012291,0.0001615585,0.0003495642,0.0001626892,0.0003000759,0.9537009,0.00009078414,0.02783105,0.004432063,0.0000543423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662427,0.006547097,0.04224248,0.02286118,0.0008407313,0.0003623405,0.01267666,0.0004238073,0.04780295],"genre_scores_gemma":[0.9798147,0.001464064,0.001904275,0.0003453843,0.0001803752,0.0001418959,0.002704929,0.00005172436,0.01339271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0980152,"threshold_uncertainty_score":0.1948894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7274146615997276,"score_gpt":0.5643975778910673,"score_spread":0.1630170837086603,"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."}}