{"id":"W2172702670","doi":"10.1603/0022-0493-94.5.1177","title":"Polymerase Chain Reaction-Restriction Fragment-Length Polymorphism Method to Distinguish &lt;I&gt;Liriomyza huidobrensis&lt;/I&gt; from &lt;I&gt;L. langei&lt;/I&gt; (Diptera: Agromyzidae) Applied to Three Recent Leafminer Invasions","year":2001,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Restriction fragment length polymorphism; EcoRV; Restriction enzyme; Cleaved amplified polymorphic sequence; Polymerase chain reaction; Molecular biology; Agromyzidae; EcoRI; Restriction fragment; Restriction site; DNA; Fragment (logic); Mitochondrial DNA; Genetics; Botany; PEST analysis; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008573529,0.0005291476,0.0009597804,0.0003515426,0.0004721403,0.0001758272,0.0006739161,0.00038987,0.00251708],"category_scores_gemma":[0.0002343703,0.000308567,0.0004012726,0.000463189,0.00006992398,0.0003080585,0.0001858562,0.0004965016,0.0005188436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005971178,"about_ca_system_score_gemma":0.0001075188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009166725,"about_ca_topic_score_gemma":0.01129567,"domain_scores_codex":[0.9962806,0.0003230614,0.001436513,0.0007771204,0.0003248914,0.0008578552],"domain_scores_gemma":[0.9968186,0.0009890482,0.0009781281,0.0002868206,0.0002557867,0.0006716321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007513044,0.0003333349,0.0008075642,0.000002745914,0.0002622441,0.0001454879,0.0001910384,0.0001985531,0.9042518,0.002693366,0.01947308,0.07088952],"study_design_scores_gemma":[0.002085553,0.001707713,0.08744825,0.0001250903,0.0003529218,0.001264906,0.0002129066,0.000369128,0.008332621,0.001694393,0.8952992,0.001107296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760829,0.0006151173,0.0008480944,0.01259414,0.002999055,0.0005655474,0.0002302502,0.00007675133,0.005988134],"genre_scores_gemma":[0.990212,0.0006667663,0.001240905,0.002392929,0.003643511,0.00008358787,0.0001938546,0.00001592537,0.001550468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8959191,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431595444224674,"score_gpt":0.2463169570576074,"score_spread":0.2220010026153606,"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."}}