{"id":"W7042739545","doi":"","title":"Preventing chemical risks of pesticide use among Québec apple growers: Status report and measure to improve personal protection","year":2018,"lang":"fr","type":"article","venue":"","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pesticide; Production system (computer science); Ile de france; Chemical control","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":[0.0007557437,0.0002603363,0.0001493409,0.0009428648,0.001788476,0.0007713042,0.0006308125,0.0004783864,0.003778882],"category_scores_gemma":[0.001316651,0.0001472921,0.0001934133,0.001179512,0.0003888006,0.0003197585,0.0003595369,0.0004649444,0.0002824549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01630156,"about_ca_system_score_gemma":0.02479805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862447,"about_ca_topic_score_gemma":0.9948242,"domain_scores_codex":[0.999595,0.00004061552,0.00001789551,0.00004511589,0.0002058348,0.00009567061],"domain_scores_gemma":[0.9978691,0.0001143489,0.000218758,0.00003751445,0.001439115,0.0003211072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000139726,0.0002262169,0.8585621,0.0005851933,0.0000712418,0.0003320537,0.004022901,0.0003807784,0.004667008,0.0003364735,0.01935001,0.1113264],"study_design_scores_gemma":[0.000009222827,0.0001253175,0.981495,0.0001254441,0.00003388476,0.00005337394,0.002648233,0.0002598571,0.000632644,0.000027678,0.01457575,0.00001362808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520257,0.006327718,0.001113813,0.007042313,0.00008505399,0.0005633342,0.006536951,0.0001094865,0.02619575],"genre_scores_gemma":[0.9659403,0.004877239,0.002053935,0.001169297,0.00002144773,0.0001612679,0.002266375,0.00001099262,0.02349929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630156,"threshold_uncertainty_score":0.1182767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116428313493687,"score_gpt":0.2653877314193199,"score_spread":0.214223448284383,"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."}}