{"id":"W4414499125","doi":"10.46254/na10.20250082","title":"A Computational Framework for Vaccine Selection: Comparing MEREC and CRITIC Weighting Techniques","year":2025,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport; King Fahd University of Petroleum and Minerals","keywords":"Weighting; Selection (genetic algorithm); Process (computing); Pandemic; Product (mathematics); Analytic hierarchy process","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01231912,0.001412404,0.00183137,0.002644703,0.0009522298,0.002365316,0.002869502,0.001898236,0.005361259],"category_scores_gemma":[0.03599541,0.0008630711,0.001275709,0.001940347,0.001958659,0.002299357,0.002425425,0.002881936,0.0003941833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002190998,"about_ca_system_score_gemma":0.002643807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006317219,"about_ca_topic_score_gemma":0.007051675,"domain_scores_codex":[0.9941121,0.004400488,0.0001286648,0.0003659061,0.0007842933,0.0002085821],"domain_scores_gemma":[0.9668953,0.02831816,0.001089907,0.0009660614,0.002262549,0.0004680248],"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":[0.00005601551,0.00004765655,0.0007481307,0.0001395713,0.00008066211,0.00004513529,0.00009804317,0.8902721,0.0002029203,0.08339899,0.0008777808,0.024033],"study_design_scores_gemma":[0.00001060334,0.00001927757,0.00006784612,0.00002116331,0.000009340712,0.000008089953,0.00001310479,0.9819238,0.00004658879,0.01741885,0.0004555052,0.000005891822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01319774,0.0003750054,0.9780179,0.0008592348,0.00009616527,0.0001365473,0.00007157023,0.00008367256,0.007162219],"genre_scores_gemma":[0.4712703,0.0006097542,0.5221754,0.0004792385,0.0002082968,0.0008152114,0.0002408446,0.0001198298,0.004081193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231912,"threshold_uncertainty_score":0.0651505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009910985562473267,"score_gpt":0.3065235778668949,"score_spread":0.2966125923044217,"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."}}