{"id":"W4391486321","doi":"10.1001/jamanetworkopen.2023.54710","title":"School Vaccine Coverage and Medical Exemption Uptake After the New York State Repeal of Nonmedical Vaccination Exemptions","year":2024,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"MD Precision (Canada)","funders":"National Institutes of Health; Albany College of Pharmacy and Health Sciences","keywords":"Repeal; Legislation; Medicine; Vaccination; Immunization; Family medicine; Cohort; Medical school; Environmental health; Political science; Law; Medical education; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00281183,0.0001382905,0.0002355542,0.00005369635,0.0003928791,0.0005951717,0.0005408662,0.0001917448,0.007284001],"category_scores_gemma":[0.0004815909,0.000101223,0.00007513087,0.0005290119,0.00002418495,0.000879241,0.0002845181,0.0004195384,0.00006550571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007384103,"about_ca_system_score_gemma":0.0006981925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235388,"about_ca_topic_score_gemma":0.003574839,"domain_scores_codex":[0.9978517,0.0003080485,0.0004538408,0.0003361607,0.0006921889,0.0003580746],"domain_scores_gemma":[0.9988158,0.0004002528,0.00009941171,0.0002646933,0.00006607728,0.0003537631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004794233,0.00006685106,0.03710598,0.00006340847,0.0001161573,0.00007467065,0.0100515,0.00009635548,0.000005183632,0.009742231,0.713258,0.2289402],"study_design_scores_gemma":[0.001045155,0.00008691924,0.5413831,0.0006098484,0.00007716814,0.00001446782,0.0007062801,0.0009456528,0.000001967949,0.01421291,0.4407035,0.0002129957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7126079,0.02540517,0.01106496,0.2149363,0.003162043,0.002729496,0.00003676593,0.0002562117,0.02980115],"genre_scores_gemma":[0.9828989,0.004541394,0.0002298131,0.001345461,0.003089075,0.00005663585,0.00001721148,0.00002063505,0.007800888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5042772,"threshold_uncertainty_score":0.9936235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811491014851185,"score_gpt":0.3095346200744632,"score_spread":0.2914197099259513,"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."}}