{"id":"W4400355271","doi":"10.1093/occmed/kqae023.0416","title":"SS73-02 A MULTI-SCALAR APPROACH IS ESSENTIAL TO PREVENT THE RISK OF PESTICIDE EXPOSURE IN THE AGRICULTURAL WORLD","year":2024,"lang":"en","type":"article","venue":"Occupational Medicine","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pesticide; Agriculture; Scalar (mathematics); Environmental health; Toxicology; Environmental science; Risk analysis (engineering); Business; Medicine; Biology; Mathematics; Agronomy; Ecology","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":[0.0062209,0.0004117937,0.0006145993,0.001346235,0.002594507,0.004725327,0.0007506236,0.0009830775,0.02513583],"category_scores_gemma":[0.007003354,0.0002069887,0.0005791594,0.001717504,0.002664985,0.001306774,0.00239221,0.0009870022,0.003090954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006585191,"about_ca_system_score_gemma":0.01826206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09570351,"about_ca_topic_score_gemma":0.2029274,"domain_scores_codex":[0.9951506,0.002194619,0.0001586544,0.000346343,0.001864913,0.0002850027],"domain_scores_gemma":[0.9942222,0.001311385,0.0005698961,0.0004700403,0.00282122,0.0006051832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004791743,0.001337739,0.1888902,0.001469501,0.0002481913,0.0006251573,0.01819565,0.007411045,0.01682682,0.1184591,0.04168969,0.6043677],"study_design_scores_gemma":[0.00007202856,0.001187287,0.4703866,0.001878569,0.0002036434,0.0003635072,0.03988395,0.007399874,0.006384117,0.07385808,0.3982278,0.0001545361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.3968318,0.002280726,0.1727289,0.02733205,0.0009032071,0.001965287,0.00323156,0.001079237,0.3936472],"genre_scores_gemma":[0.8359281,0.001118458,0.09537921,0.001614741,0.0001324678,0.0006843975,0.0008463364,0.000188972,0.06410744],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09570351,"threshold_uncertainty_score":0.1902929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850236009853443,"score_gpt":0.2782209205351833,"score_spread":0.2497185604366488,"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."}}