{"id":"W3123085128","doi":"","title":"Military Training Exercises, Pollution, and their Consequences for Health","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Training (meteorology); Environmental health; Military health; Incidence (geometry); Medicine; Psychology; Geography; Meteorology; Health care; Economic growth; Economics","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":[0.0003578477,0.0001779033,0.0001712212,0.0005225851,0.0002978451,0.0006536872,0.0002159379,0.0004417432,0.001710881],"category_scores_gemma":[0.002499287,0.0001092803,0.000242485,0.0009451291,0.0005199304,0.0002602125,0.0007154994,0.0003586838,0.0001183662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324684,"about_ca_system_score_gemma":0.0003698656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121046,"about_ca_topic_score_gemma":0.02790749,"domain_scores_codex":[0.9996277,0.0001621171,0.00002100627,0.00005284352,0.00005293562,0.00008347183],"domain_scores_gemma":[0.9986984,0.0003976694,0.0006301207,0.0000634902,0.00006505796,0.0001452823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005867179,0.00004617106,0.9942439,0.00002080462,0.00008262859,0.00009448441,0.0001279357,0.0002136252,0.0001754092,0.0001941197,0.0001302064,0.004611983],"study_design_scores_gemma":[0.000001392056,0.00003791456,0.9991616,0.000008639145,0.00002160449,0.00003495039,0.0002316012,0.00007675352,0.00004668367,0.0001153242,0.0002622667,0.000001321289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955162,0.00178216,0.00009974233,0.0006808485,0.00001056933,0.000005144777,0.0004697879,0.000002147601,0.001433315],"genre_scores_gemma":[0.9985453,0.0009357795,0.00005394885,0.0000551863,0.00001769747,0.000003160892,0.0001465831,7.31599e-7,0.0002415697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02121046,"threshold_uncertainty_score":0.04217398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068771790912309,"score_gpt":0.3624693925850413,"score_spread":0.2936976016727323,"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."}}