{"id":"W2972426357","doi":"","title":"Optimal refuge strategies to fight pest resistance to GM crops","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"PEST analysis; Pest control; Population; Crop; Agricultural engineering; Agroforestry; Ecology; Environmental science; Biology; Engineering; Botany","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":[0.0004480947,0.0008520043,0.0007980346,0.0005853123,0.0002486622,0.0008727949,0.0007420304,0.001026318,0.003565964],"category_scores_gemma":[0.001354028,0.0004457015,0.000753527,0.0003058877,0.00108634,0.0009148185,0.001135438,0.0007605152,0.0002047627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034314,"about_ca_system_score_gemma":0.0006263013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113015,"about_ca_topic_score_gemma":0.0023539,"domain_scores_codex":[0.9998404,0.0000594571,0.000006730118,0.00002974966,0.00001719178,0.0000465737],"domain_scores_gemma":[0.9994766,0.000245388,0.0001378024,0.00002392949,0.00003310499,0.00008309437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007105464,0.00003254322,0.0003625092,0.00004176259,0.00003824672,0.00007695195,0.0000297903,0.9803411,0.003410844,0.01242616,0.0002931341,0.002876003],"study_design_scores_gemma":[0.00004407744,0.0001667412,0.00027651,0.0000118654,0.00002192864,0.00002489549,0.00003662881,0.9869128,0.0004250113,0.01155595,0.0005104266,0.00001305901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5859248,0.001520999,0.3881464,0.0009263398,0.00008188621,0.0001237275,0.0002799428,0.0003580306,0.02263791],"genre_scores_gemma":[0.9850578,0.0003112285,0.01156907,0.00006278323,0.000009178975,0.00005340293,0.0000550287,0.00003452216,0.00284705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003565964,"threshold_uncertainty_score":0.01192933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883305285024606,"score_gpt":0.2450091018380651,"score_spread":0.2261760489878191,"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."}}