{"id":"W2020302451","doi":"10.1111/j.1439-0418.2007.01264.x","title":"Sampling plan for the coffee leaf miner <i>Leucoptera coffeella</i> with sex pheromone traps","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Entomology","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Pheromone trap; Biology; PEST analysis; Sampling (signal processing); Leaf miner; Toxicology; Population density; Sex pheromone; Population; Horticulture; Botany; Physics","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":[0.0005939841,0.0003586732,0.0002872386,0.0005990866,0.0003942944,0.0002083393,0.0005470585,0.0002070242,0.001543779],"category_scores_gemma":[0.0009610289,0.000235143,0.0003487261,0.0003030965,0.0001322121,0.0001955488,0.0002980533,0.0001585263,0.0005169612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470432,"about_ca_system_score_gemma":0.0004301569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783415,"about_ca_topic_score_gemma":0.008470233,"domain_scores_codex":[0.999408,0.0001533033,0.00004861221,0.0001713455,0.0001683822,0.00005042419],"domain_scores_gemma":[0.999461,0.0001063363,0.0001583798,0.00007237367,0.0001558093,0.00004612018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001491148,0.0006587498,0.3452064,0.0006090999,0.00008702006,0.0003268256,0.0009100202,0.02639567,0.3512926,0.0006017835,0.001540743,0.27088],"study_design_scores_gemma":[0.0001281387,0.003673449,0.8239055,0.00008735393,0.000124422,0.0008952334,0.000668678,0.07938439,0.07948324,0.0003593149,0.01119387,0.00009640342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848034,0.0001974038,0.1095488,0.00004359823,0.00001805159,0.001749751,0.0009806333,0.0003678928,0.002290462],"genre_scores_gemma":[0.7957,0.00007377867,0.2013515,0.00001855612,0.000008570494,0.001415614,0.0005528664,0.00002277408,0.0008563575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003783415,"threshold_uncertainty_score":0.007522762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746612367590352,"score_gpt":0.2346253603632915,"score_spread":0.197159236687388,"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."}}