{"id":"W1899643429","doi":"10.1002/ieam.1706","title":"Integrated assessment of climate change impact on surface runoff contamination by pesticides","year":2015,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Institut de Recherche et de Développement en Agroenvironnement; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Ministère de l'Agriculture et de l'Alimentation; Institut national de la recherche scientifique; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Codling moth; Environmental science; Surface runoff; Orchard; Pesticide; Climate change; Phenology; PEST analysis; Crop; Malus; Agriculture; Agronomy; Hydrology (agriculture); Ecology; Biology; Horticulture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002866769,0.0002826675,0.0002663971,0.00003410814,0.0001164732,0.00008106526,0.0001471809,0.00007394875,0.0004284038],"category_scores_gemma":[0.000002137102,0.0001190899,0.00008450713,0.0001349627,0.00006194346,0.0002188199,0.00008545056,0.0001702883,0.00001724542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003768912,"about_ca_system_score_gemma":0.000007084216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007457588,"about_ca_topic_score_gemma":0.00006866833,"domain_scores_codex":[0.9985801,0.0001168362,0.0003190008,0.0003352752,0.0003522037,0.0002966138],"domain_scores_gemma":[0.9995111,0.00007664569,0.0001779018,0.0000793882,0.00002449781,0.0001304856],"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":[0.0005600621,0.003008573,0.299115,0.00005057064,0.0005602463,0.00005519361,0.0002247635,0.0003157623,0.1501683,0.003797041,0.005819866,0.5363246],"study_design_scores_gemma":[0.001298936,0.003084325,0.9592922,0.000173211,0.0001419191,0.00001088961,0.004846275,0.01515347,0.001375446,0.0001154852,0.01399951,0.0005082749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911794,0.00008652513,0.0001188551,0.0003167391,0.0001670451,0.0006679386,0.0005475482,0.00004629059,0.006869653],"genre_scores_gemma":[0.9970161,0.001031749,0.0002910746,0.0001810261,0.00003284329,0.00008695079,0.00107971,0.000003345238,0.0002772301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6601772,"threshold_uncertainty_score":0.4856347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697339666793873,"score_gpt":0.2632672476542572,"score_spread":0.2462938509863185,"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."}}