{"id":"W2965012511","doi":"10.18174/476563","title":"From metagenome to gene : Identification of the first Synchytrium endobioticum effector through comparative genomics","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Wageningen University and Research; Consortium of International Agricultural Research Centers; Teagasc","keywords":"Biology; Obligate; Genomics; Identification (biology); Pathogen; Effector; Genome; Botany; Biotechnology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001013979,0.0002176776,0.0004139155,0.000009074965,0.00014872,0.00004953293,0.000523116,0.0001804021,0.0001719178],"category_scores_gemma":[0.00001818046,0.00006685215,0.0002074911,0.0002536538,0.00002127831,0.00005070466,0.0000433386,0.00011512,0.0001770939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450588,"about_ca_system_score_gemma":0.00001607182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191457,"about_ca_topic_score_gemma":0.004219015,"domain_scores_codex":[0.9987472,0.00006139492,0.0003921184,0.0003986025,0.0002261923,0.000174495],"domain_scores_gemma":[0.9991026,0.0002207402,0.0003825313,0.0001498486,0.0001078134,0.00003645313],"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":[0.00005210302,0.00003628063,0.0001167074,0.00002529338,0.00006073478,4.825933e-7,0.0004024153,0.00002463808,0.9985141,0.00003520459,0.0004714198,0.0002606877],"study_design_scores_gemma":[0.00006252558,0.00004792032,0.3497774,0.00005909747,0.00008815491,4.858667e-7,0.0008113747,0.0000212341,0.636827,0.00004905013,0.01203493,0.0002208691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926834,0.0006441355,0.000009638295,0.0001732049,0.001093204,0.0008264913,0.002836753,0.00001792496,0.001715321],"genre_scores_gemma":[0.9902948,0.00007567577,0.0001072472,0.00008938082,0.0002058051,0.00002313308,0.002450834,0.00000168407,0.006751488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3616871,"threshold_uncertainty_score":0.2726152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997874781600731,"score_gpt":0.2331133387624787,"score_spread":0.2131345909464714,"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."}}