{"id":"W4382242251","doi":"10.3389/fcimb.2023.1218105","title":"CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum","year":2023,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; Jiangsu University","keywords":"Phytophthora ramorum; Biology; Phytophthora; Identification (biology); Botany","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":[0.0002399929,0.0000885708,0.0001708861,0.00005159513,0.0001067255,0.00001098831,0.00003348489,0.0001270432,0.000002585292],"category_scores_gemma":[0.00001987614,0.00004217468,0.0000460565,0.0002449656,0.00009248889,0.00002110841,0.00001937606,0.00005911873,7.39327e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000109089,"about_ca_system_score_gemma":0.000003359024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002356488,"about_ca_topic_score_gemma":0.00005667343,"domain_scores_codex":[0.9993662,0.00006509254,0.0001514048,0.0002233144,0.00001872959,0.0001752739],"domain_scores_gemma":[0.9997948,0.00006248939,0.00007056726,0.00002667935,0.00001968687,0.00002571145],"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":[0.00006811118,0.00002996859,0.006633532,0.00003571889,0.000006360403,9.926515e-7,0.000006910361,0.0002002782,0.9814584,0.00001170863,0.0001540028,0.01139406],"study_design_scores_gemma":[0.001002826,0.0006200503,0.2373765,0.0000453404,0.00003254177,0.00002137859,0.0003382819,0.03473967,0.6995829,0.0003188678,0.02556435,0.0003573303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993395,0.0005928014,0.0051448,0.00009045815,0.0003932907,0.0002331569,0.0001013522,0.00002614876,0.00002294408],"genre_scores_gemma":[0.9994245,0.0001334931,0.0001941668,0.00001831926,0.00003736018,0.00002139744,0.0001246355,9.679293e-7,0.00004523166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2818755,"threshold_uncertainty_score":0.1719833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148714478099984,"score_gpt":0.2056037726453634,"score_spread":0.1841166278643636,"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."}}