{"id":"W3125584263","doi":"10.2139/ssrn.3757618","title":"Make It or Break It: Vaccination Intent at the Time of COVID-19","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Chipworks (Canada); University of Toronto","funders":"","keywords":"Vaccination; Herd immunity; Pandemic; Coronavirus disease 2019 (COVID-19); Promotion (chess); Logistic regression; Demographics; Business; Demography; Medicine; Political science; Virology; Sociology; Politics","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":[0.002339768,0.0001988054,0.0003377956,0.001200106,0.0007429215,0.001552931,0.0006244256,0.001502746,0.009921906],"category_scores_gemma":[0.02158597,0.0002645267,0.0007306559,0.0007115805,0.0005768467,0.001512374,0.001076415,0.00391631,0.001548364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005530395,"about_ca_system_score_gemma":0.0009609203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009487797,"about_ca_topic_score_gemma":0.007488395,"domain_scores_codex":[0.9986683,0.0004516139,0.0001490844,0.00009589582,0.0002394986,0.0003956048],"domain_scores_gemma":[0.9787095,0.005972133,0.009299045,0.0007424756,0.001333321,0.003943508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006007394,0.0003965143,0.9926762,0.0000326688,0.00007821173,0.00009677868,0.0007239231,0.0001132256,0.0001208893,0.0002352753,0.0009224568,0.004003162],"study_design_scores_gemma":[0.00001256885,0.0003655792,0.9963791,0.00007631797,0.00003638856,0.00015351,0.001357004,0.0005703673,0.0001325215,0.0002595191,0.0006373398,0.00001973977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914544,0.0002982957,0.00005016239,0.001148899,0.00005156042,0.00002155115,0.0007693536,0.00001059199,0.006195165],"genre_scores_gemma":[0.9985725,0.0001117697,0.00004160438,0.00009628734,0.00003384606,0.000007701631,0.0003225374,0.000004678114,0.0008091379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009921906,"threshold_uncertainty_score":0.0331921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756345041506646,"score_gpt":0.3135114706201051,"score_spread":0.2859480202050386,"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."}}