{"id":"W2422599939","doi":"10.1007/s10886-016-0767-y","title":"The Active Space of Mexican Rice Borer Pheromone Traps","year":2016,"lang":"en","type":"article","venue":"Journal of Chemical Ecology","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Texas Commission on Environmental Quality; Florida Sugar Cane League; U.S. Department of Agriculture; National Institute of Food and Agriculture; U.S. Environmental Protection Agency","keywords":"Pheromone; Crambidae; Pheromone trap; Sex pheromone; Biology; Mating disruption; Integrated pest management; Lepidoptera genitalia; PEST analysis; Trap (plumbing); Attraction; Ecology; Horticulture; Botany; Environmental science","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":[0.0001975727,0.0001539374,0.0001583439,0.0004674947,0.000412476,0.0008022212,0.000401162,0.0002444537,0.001446066],"category_scores_gemma":[0.0006636176,0.0001984486,0.0001157636,0.0001620593,0.0003631555,0.0005932768,0.0006830918,0.0002182714,0.0002355267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262033,"about_ca_system_score_gemma":0.0002804189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007366394,"about_ca_topic_score_gemma":0.001346205,"domain_scores_codex":[0.9998968,0.00002421059,0.000002661312,0.00002345101,0.0000259381,0.00002698188],"domain_scores_gemma":[0.9996575,0.0001003729,0.00008526443,0.00002163515,0.00005090328,0.00008443397],"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":[0.003018857,0.000216244,0.04487774,0.0001442585,0.00008823092,0.0002237924,0.001446385,0.002984528,0.8808953,0.008461453,0.0009809547,0.05666227],"study_design_scores_gemma":[0.0005317445,0.004435088,0.6467401,0.0001808214,0.0002567378,0.002477989,0.00565022,0.06171212,0.2442918,0.01079426,0.0227078,0.0002211492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946778,0.0005063163,0.002476814,0.00006478833,0.00001059905,0.000007765933,0.0001004728,0.00001735312,0.002138088],"genre_scores_gemma":[0.9985887,0.00007833236,0.0005904737,0.00001147794,0.000005591697,0.000005447163,0.00006006964,0.000005860233,0.0006540612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001446066,"threshold_uncertainty_score":0.004837573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197841129879312,"score_gpt":0.215260117352411,"score_spread":0.2080622762225317,"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."}}