{"id":"W4416190798","doi":"10.31124/advance.176303523.36242239/v1","title":"EXPLORING THE LINK BETWEEN EARLY-LIFE VACCINE SCHEDULING INTENSITY AND AUTISM INCIDENCE: A CROSS-NATIONAL ANALYSIS TO INFORM PUBLIC HEALTH POLICY","year":2025,"lang":"","type":"article","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autism; Public health; Scheduling (production processes); Public policy; Health policy","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":[0.005933426,0.0003092655,0.0004742499,0.001510485,0.0003270264,0.00080027,0.000504184,0.0004461001,0.001444339],"category_scores_gemma":[0.01286332,0.0002861914,0.001274511,0.003111353,0.00034148,0.000752165,0.00095941,0.0008279837,0.0001140362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221603,"about_ca_system_score_gemma":0.001209667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04273932,"about_ca_topic_score_gemma":0.04471929,"domain_scores_codex":[0.9957498,0.002903191,0.0002630109,0.000429084,0.0002111668,0.0004436179],"domain_scores_gemma":[0.9900042,0.005144333,0.002999364,0.0007005691,0.0007187814,0.0004327188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004722008,0.00003202276,0.9945828,0.00005036422,0.0004958441,0.0000312028,0.00009614146,0.0009660601,0.00008360804,0.0002297826,0.0002531464,0.00313171],"study_design_scores_gemma":[0.000005183524,0.00008221182,0.996139,0.00004839381,0.0002263881,0.00002925033,0.0005438197,0.002070022,0.0001010686,0.0001106132,0.0006378971,0.000006098186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925305,0.0008521477,0.002048745,0.0007990378,0.00002005895,0.00002980554,0.002625579,0.00001201211,0.00108208],"genre_scores_gemma":[0.99591,0.0003828552,0.001574409,0.0001324626,0.000009017933,0.0000433502,0.001828921,0.000004486595,0.0001145324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04273932,"threshold_uncertainty_score":0.08498114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296657219019374,"score_gpt":0.3966934155861465,"score_spread":0.267027693684209,"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."}}