{"id":"W2810849661","doi":"10.1111/epp.12472","title":"High‐throughput sequencing technologies for plant pest diagnosis: challenges and opportunities","year":2018,"lang":"en","type":"article","venue":"EPPO Bulletin","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Phytosanitary certification; Throughput; Emerging technologies; PEST analysis; Biotechnology; Risk analysis (engineering); Biology; Business; Computer science; Telecommunications","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":[0.01776828,0.0008436993,0.001121719,0.001302231,0.001160017,0.004800201,0.001413828,0.002983118,0.004563072],"category_scores_gemma":[0.01202132,0.0005489609,0.0006536604,0.001280843,0.002040461,0.00544751,0.001624132,0.004166084,0.002670423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137332,"about_ca_system_score_gemma":0.003295225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524506,"about_ca_topic_score_gemma":0.003786839,"domain_scores_codex":[0.9934832,0.003220049,0.0003306082,0.0005043697,0.002135236,0.0003264811],"domain_scores_gemma":[0.9773186,0.01198798,0.001201402,0.001713705,0.005439949,0.002338362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006646306,0.0003363268,0.008859224,0.003674556,0.0001809295,0.0006854278,0.001211048,0.003982112,0.3218866,0.02734206,0.06568689,0.5654902],"study_design_scores_gemma":[0.00007746164,0.001251119,0.0176869,0.002349952,0.0001839753,0.002568648,0.003060778,0.01936071,0.1385239,0.081471,0.7331811,0.0002844569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1087806,0.2697814,0.3742001,0.2013955,0.007785698,0.0007603368,0.004449553,0.003054942,0.02979188],"genre_scores_gemma":[0.2260298,0.2502716,0.4757862,0.01769503,0.004347779,0.0008099445,0.007172553,0.0008740637,0.01701297],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01776828,"threshold_uncertainty_score":0.09396875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538263477053371,"score_gpt":0.2708935869358851,"score_spread":0.1170672392305479,"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."}}