{"id":"W4280587318","doi":"10.3390/insects13050465","title":"Optimization of a Mass Trapping Method against the Striped Cucumber Beetle Acalymma vittatum in Organic Cucurbit Fields","year":2022,"lang":"en","type":"article","venue":"Insects","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Centre de Recherche Industrielle du Québec; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université du Québec à Montréal","funders":"","keywords":"Semiochemical; Trapping; Biology; Trap (plumbing); Pesticide; Horticulture; Toxicology; Agronomy; Biological system; PEST analysis; Ecology; Environmental science; Environmental engineering","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":[0.0002163152,0.0004633737,0.0002030661,0.0002978292,0.0002129562,0.0002118482,0.0003000952,0.0001802186,0.0004110601],"category_scores_gemma":[0.0002186363,0.0001397733,0.0001469121,0.000150042,0.0001457251,0.0001436029,0.000158377,0.0001434026,0.00008439684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252448,"about_ca_system_score_gemma":0.0002119346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290265,"about_ca_topic_score_gemma":0.01237514,"domain_scores_codex":[0.9998727,0.00002076368,0.000009056811,0.00003624705,0.00004211574,0.00001910176],"domain_scores_gemma":[0.9998742,0.00002634025,0.00005862404,0.000006112098,0.00001799371,0.00001664755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007676824,0.00005316328,0.001240491,0.0001016522,0.00001006116,0.00002095901,0.00002400101,0.0005909704,0.9908029,0.00001214778,0.00002476697,0.007042144],"study_design_scores_gemma":[0.00005235901,0.003359214,0.05457273,0.00003120051,0.0001039438,0.0001872189,0.0001212723,0.009523798,0.9303185,0.00001783938,0.001684714,0.00002736286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952991,0.0004539051,0.003765259,0.00002306979,0.000005836255,0.00009950132,0.00006958989,0.00003241052,0.0002513386],"genre_scores_gemma":[0.9800852,0.0005286973,0.01810999,0.00002651169,0.000007276899,0.0001102054,0.0001330587,0.00001145273,0.0009877598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003290265,"threshold_uncertainty_score":0.006542206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374871048932267,"score_gpt":0.2274906757098669,"score_spread":0.2137419652205443,"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."}}