{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003241447,0.0001551287,0.0002110783,0.00001951288,0.0003931898,0.00005372246,0.0002273092,0.00009799111,0.000108282],"category_scores_gemma":[0.0003254599,0.000060072,0.00003686678,0.00004389837,0.0004036106,0.00004705012,0.0002314918,0.00009409715,0.00004946474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680809,"about_ca_system_score_gemma":0.000008396405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002053829,"about_ca_topic_score_gemma":0.0005870402,"domain_scores_codex":[0.9989304,0.00004483474,0.0001485743,0.000320268,0.0001625026,0.0003934454],"domain_scores_gemma":[0.9990408,0.0007069865,0.00005684269,0.00005791683,0.00008445133,0.00005298165],"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":[0.0001692496,0.000113438,0.0003651007,0.0001405095,0.0001336525,0.000081301,0.001120225,2.65932e-7,0.0461866,0.0246452,0.2731537,0.6538908],"study_design_scores_gemma":[0.000132571,0.0007160795,0.002569595,0.00009040997,0.000009760113,0.00001725143,0.00516942,0.000005791359,0.01477441,0.002823162,0.9734662,0.0002254008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536558,0.02060965,0.00000323691,0.1208375,0.000260381,0.000658695,0.001115914,0.0006206847,0.002238136],"genre_scores_gemma":[0.9432629,0.05429019,0.000536072,0.000377682,0.0005906572,0.0004211233,0.00005853327,0.00000219396,0.0004606973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7003124,"threshold_uncertainty_score":0.3024138,"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."}}