{"id":"W4288351545","doi":"","title":"ERGONOMIC APPROACH TO THE PREVENTION OF PESTICIDE EXPOSURES IN FRENCH VINYARD","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Pesticide; Computer science; Environmental health; Environmental science; Medicine","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":[0.0004981908,0.000466972,0.0002597182,0.0009987663,0.001037403,0.0008329354,0.0004424181,0.0004672483,0.001899422],"category_scores_gemma":[0.0004933091,0.00008048889,0.0002817277,0.0004176726,0.0003064396,0.0001246828,0.0003637386,0.0001562512,0.0001485055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002331579,"about_ca_system_score_gemma":0.002723926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.140755,"about_ca_topic_score_gemma":0.1726783,"domain_scores_codex":[0.9996532,0.0001507449,0.00001446485,0.00006443728,0.00005637073,0.00006075206],"domain_scores_gemma":[0.9997645,0.0000412137,0.00004154645,0.00001010891,0.0001007269,0.00004186835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001754094,0.003053982,0.4104248,0.001259716,0.0004514297,0.00174673,0.007548599,0.01403653,0.08087081,0.003791877,0.004719053,0.4703423],"study_design_scores_gemma":[0.00003551621,0.001554167,0.9593907,0.0002255954,0.0001848408,0.0003283687,0.006934988,0.003338504,0.006423346,0.001253062,0.02028025,0.00005079846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972024,0.007625607,0.007570837,0.001805343,0.0000723621,0.00009537552,0.0002866672,0.00009130091,0.01042848],"genre_scores_gemma":[0.9862283,0.00251148,0.004306248,0.0001911244,0.00002238806,0.00003403389,0.0001103915,0.000007317588,0.006588761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140755,"threshold_uncertainty_score":0.2798715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052611303943549,"score_gpt":0.2204491302114819,"score_spread":0.1999230171720464,"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."}}