{"id":"W2912520627","doi":"10.3390/jof5010015","title":"High-Throughput Sequencing to Investigate Phytopathogenic Fungal Propagules Caught in Baited Insect Traps","year":2019,"lang":"en","type":"article","venue":"Journal of Fungi","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Biology; Semiochemical; Propagule; Oomycete; Insect; Longhorn beetle; Biodiversity; Phytophthora; Botany; Ecology; PEST analysis; Microbiology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003390978,0.0001895,0.0003212185,0.0001753383,0.000031094,0.00003110012,0.0002339471,0.0001216893,0.00003055878],"category_scores_gemma":[0.0001036232,0.0001599079,0.0001691775,0.0002250181,0.00002433721,0.00001689995,0.00006241885,0.0001879798,0.00003015697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000056905,"about_ca_system_score_gemma":0.0003001661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001285492,"about_ca_topic_score_gemma":0.00006505247,"domain_scores_codex":[0.998647,0.0001060406,0.0004624219,0.0002508522,0.0002283183,0.000305353],"domain_scores_gemma":[0.9991982,0.00001957746,0.0002142207,0.0002207987,0.0001241279,0.0002230807],"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":[0.0003781571,0.00005319615,0.02879831,0.00003864622,0.00004365359,0.0002014725,0.00006261918,0.0006509959,0.9679646,0.00004617039,0.001084593,0.0006775386],"study_design_scores_gemma":[0.002932581,0.002211083,0.2938529,0.0005363441,0.0001266073,0.001382242,0.0002146292,0.0001888943,0.6780702,0.0002469647,0.01937019,0.000867335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962896,0.002560216,0.00008132378,0.0001620782,0.0003681347,0.0001944694,0.0001956879,0.000005537903,0.0001429692],"genre_scores_gemma":[0.9968697,0.0002646111,0.001554132,0.0006198726,0.0003658946,0.000004354024,0.0000317207,0.00002358371,0.0002661376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2898944,"threshold_uncertainty_score":0.6520853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351407204265619,"score_gpt":0.2188160944552396,"score_spread":0.2053020224125834,"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."}}