{"id":"W7061374247","doi":"","title":"Population Genomics of Cercospora beticola","year":2021,"lang":"en","type":"other","venue":"MACAU (Kiel University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Deutsche Forschungsgemeinschaft; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Canadian Institute for Advanced Research","keywords":"Pathosystem; Domestication; Population; Cercospora; Population genomics; Sugar beet; Genomics; Phenomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307617,0.00008511487,0.0001008476,0.000266144,0.0001201191,0.0002825409,0.00009283159,0.0001276262,0.0007147262],"category_scores_gemma":[0.0001831883,0.00006319213,0.0001749667,0.0003638619,0.00005929629,0.00009083028,0.0001335276,0.0002742206,0.0001258141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364739,"about_ca_system_score_gemma":0.0001621534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635572,"about_ca_topic_score_gemma":0.004289147,"domain_scores_codex":[0.9999481,0.000005827915,0.000001847756,0.00002481665,0.00001204243,0.000007252723],"domain_scores_gemma":[0.99994,0.0000225457,0.00001362121,0.00000381565,0.00001153037,0.000008492609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001108035,0.00003485394,0.01394031,0.0001703016,0.0000377423,0.00009615957,0.0006072854,0.001712129,0.9403181,0.001233072,0.0005222606,0.04121694],"study_design_scores_gemma":[0.00002284927,0.0003949218,0.8395872,0.0001080956,0.00009564694,0.000632694,0.000568966,0.007684649,0.1132374,0.001785427,0.03584553,0.0000366694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836902,0.001567816,0.007322412,0.0001462007,0.00001066979,0.00003818109,0.00361448,0.0001095911,0.003500487],"genre_scores_gemma":[0.9797274,0.001820038,0.009636319,0.0001091948,0.000009646957,0.00008023647,0.005205824,0.00004465858,0.003366681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002635572,"threshold_uncertainty_score":0.0052405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009701948881086409,"score_gpt":0.2101968085052947,"score_spread":0.2004948596242083,"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."}}