{"id":"W4327581317","doi":"10.1097/js9.0000000000000060","title":"COVID-19 vaccine wastage and distribution disparities in Pakistan: an editorial","year":2023,"lang":"en","type":"editorial","venue":"International Journal of Surgery","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Medicine; Global health; Preparedness; Population; Equity (law); Pandemic; Environmental health; Public health; Multinational corporation; Economic growth; Coronavirus disease 2019 (COVID-19); Business; Infectious disease (medical specialty); Disease; Virology; Political science; Finance","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":[0.004109656,0.0007524022,0.001836644,0.003032994,0.001322837,0.004172815,0.001856587,0.00587022,0.008060367],"category_scores_gemma":[0.02330946,0.0005088423,0.001292861,0.002025524,0.001540896,0.003867362,0.001035913,0.006475894,0.00176655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792344,"about_ca_system_score_gemma":0.004076287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003234529,"about_ca_topic_score_gemma":0.004174857,"domain_scores_codex":[0.9981791,0.0003375623,0.0003719209,0.000294435,0.0006456653,0.000171357],"domain_scores_gemma":[0.9792484,0.01170512,0.001368766,0.0002769055,0.00581014,0.001590757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007087073,0.00002718628,0.0005158307,0.001820576,0.00005618738,0.0001364694,0.0001456226,0.00003172783,0.00003857065,0.0007909829,0.9599187,0.03644721],"study_design_scores_gemma":[0.00008901291,0.0001089177,0.002028616,0.008802553,0.0001860429,0.0006012324,0.0003629133,0.0001170039,0.00009034071,0.001390917,0.9861801,0.0000422682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0008260187,0.2361164,0.0002190829,0.1602039,0.5989384,0.0000543598,0.0003955533,0.00006053884,0.003185723],"genre_scores_gemma":[0.0046499,0.187719,0.0001443331,0.05626133,0.7480559,0.00005640066,0.0001925507,0.00005120579,0.002869437],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.008060367,"threshold_uncertainty_score":0.0269646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107980975134045,"score_gpt":0.3791098634572549,"score_spread":0.3480300537059145,"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."}}