{"id":"W4322581849","doi":"10.2139/ssrn.4368075","title":"The Health Impacts of Agent Orange on Aging Residents of Northern Vietnam","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Agent Orange; Orange (colour); Vietnam War; Business; Geography; Horticulture; Biology; Archaeology","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":[0.0001176643,0.00008837815,0.0001016621,0.000168269,0.0006984972,0.0003376784,0.0001301592,0.0002257504,0.0026473],"category_scores_gemma":[0.0003683383,0.00006140054,0.00009740923,0.0002631686,0.0001924021,0.0002244778,0.0003891989,0.0002859039,0.0001147254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009685087,"about_ca_system_score_gemma":0.0008667491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.237332,"about_ca_topic_score_gemma":0.4184368,"domain_scores_codex":[0.9999311,0.00001916366,0.000002348586,0.000008554881,0.000009204055,0.00002955846],"domain_scores_gemma":[0.9997882,0.00001405177,0.00006054908,0.00000530933,0.00004456637,0.00008730391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004365585,0.0002557641,0.9684705,0.0001051503,0.00008050552,0.001379375,0.00557207,0.0001618548,0.001308352,0.0005364234,0.002906082,0.01878732],"study_design_scores_gemma":[0.000005679346,0.0002165372,0.9823825,0.00005223681,0.0000229866,0.0001364089,0.01328469,0.00007651874,0.0001005821,0.0001490928,0.003568025,0.000004623952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967901,0.0002320136,0.000009794143,0.0005727696,0.00001161741,0.000004817631,0.0002901503,6.947058e-7,0.002088008],"genre_scores_gemma":[0.9975163,0.0004878846,0.00002533059,0.0001003469,0.000009472775,0.000003304757,0.0001272734,7.692777e-7,0.001729371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.237332,"threshold_uncertainty_score":0.4719011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04728845282195814,"score_gpt":0.3232818973775829,"score_spread":0.2759934445556248,"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."}}