{"id":"W4392459452","doi":"10.3390/horticulturae10030250","title":"Efficient and Direct Identification of Ditylenchus destructor and D. dipsaci in Soil and Plant Tissues Using a Species-Specific PCR Assay","year":2024,"lang":"en","type":"article","venue":"Horticulturae","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shaanxi Academy of Sciences; Agriculture and Agri-Food Canada; Inner Mongolia Agricultural University; Chinese Academy of Agricultural Sciences","keywords":"Biology; Identification (biology); Botany; Agronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003563178,0.0007479079,0.0004409899,0.0009357468,0.000142566,0.0003302015,0.0003818805,0.000417877,0.0005166797],"category_scores_gemma":[0.0006096779,0.0003174198,0.00033712,0.0003281037,0.0002211018,0.0003175572,0.0003259609,0.0004257736,0.0005464861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478373,"about_ca_system_score_gemma":0.0002355013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004542471,"about_ca_topic_score_gemma":0.001160773,"domain_scores_codex":[0.9994617,0.00006391065,0.00005839528,0.0002351371,0.0001263005,0.00005455829],"domain_scores_gemma":[0.9994667,0.0001622731,0.0001728413,0.00003524158,0.0001204742,0.00004243643],"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":[0.00001994158,0.00001522216,0.00105909,0.00007547557,0.000005270017,0.0000229305,0.00003672767,0.00003065898,0.9947664,0.00001915416,0.00001267098,0.003936497],"study_design_scores_gemma":[0.000009978891,0.0005273439,0.02491355,0.00004104402,0.00008371079,0.0007100442,0.0002158941,0.002602973,0.9688164,0.00005989139,0.001997993,0.00002118043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189318,0.002962219,0.0730712,0.00009500286,0.00005815927,0.0003935154,0.001363118,0.0004216529,0.002703281],"genre_scores_gemma":[0.8168446,0.00318155,0.1737665,0.0001328029,0.00002607114,0.000474569,0.002446243,0.00006256988,0.00306511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009357468,"threshold_uncertainty_score":0.001884401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801943050057144,"score_gpt":0.2263311763578706,"score_spread":0.1983117458572992,"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."}}