{"id":"W4379982654","doi":"10.2139/ssrn.4411818","title":"First or Second Doses First? Vaccine Allocation Under Limited Supply","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Business","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":[],"consensus_categories":[],"category_scores_codex":[0.006509809,0.0005870579,0.002280344,0.0006905787,0.0005231363,0.002315138,0.001095981,0.001940139,0.04407959],"category_scores_gemma":[0.0287179,0.0006531716,0.0009741399,0.0005434536,0.000755698,0.003031242,0.00136637,0.002158451,0.003350967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198045,"about_ca_system_score_gemma":0.002591358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598114,"about_ca_topic_score_gemma":0.001332965,"domain_scores_codex":[0.9957699,0.002259294,0.0001834758,0.0005533471,0.0003090311,0.0009248817],"domain_scores_gemma":[0.9878156,0.008862686,0.00113685,0.0005991452,0.0004197677,0.001165949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0696773,0.004062475,0.02044384,0.001767649,0.0006846233,0.0004316188,0.001175147,0.05949286,0.004303845,0.03859224,0.0214923,0.7778763],"study_design_scores_gemma":[0.02247408,0.06602482,0.09371922,0.004316897,0.003384108,0.002962737,0.004155191,0.3061955,0.01354383,0.3717291,0.1110655,0.0004291191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8216263,0.009488008,0.06401085,0.02578939,0.002696307,0.002437795,0.001933269,0.000482484,0.07153558],"genre_scores_gemma":[0.9882699,0.0006263492,0.003462744,0.001308127,0.0003251931,0.0003352572,0.0001481168,0.00005483559,0.005469447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04407959,"threshold_uncertainty_score":0.1474609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987953725658458,"score_gpt":0.3230945843931872,"score_spread":0.2932150471366026,"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."}}