{"id":"W6967990818","doi":"10.5281/zenodo.15793692","title":"Erysiphe amphicarpaeicola M. Bradshaw 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conidium; Mycelium; Hypha; Appressorium; Germination; Spore; Genus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001782647,0.001115291,0.0004391787,0.001543611,0.001240216,0.0006871236,0.0007160993,0.0008711054,0.005099688],"category_scores_gemma":[0.0004292044,0.0003317938,0.0002091192,0.001635214,0.0004214228,0.00164976,0.0008425689,0.0009352557,0.003738125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037796,"about_ca_system_score_gemma":0.0003872608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009645483,"about_ca_topic_score_gemma":0.01910123,"domain_scores_codex":[0.999788,0.00002088084,0.00002419422,0.00007755031,0.00005464239,0.00003483552],"domain_scores_gemma":[0.999751,0.00004212242,0.0000884545,0.00002400194,0.00006132852,0.0000330248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007099165,0.0004240434,0.04022749,0.002076702,0.0001565241,0.009709389,0.00276441,0.002436954,0.1053189,0.002138613,0.04826242,0.7857746],"study_design_scores_gemma":[0.000149413,0.0003487898,0.4706683,0.001130559,0.0002378048,0.01970609,0.003155865,0.001487758,0.01313513,0.0007797363,0.4891172,0.00008343442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6412746,0.03903532,0.02000464,0.002899888,0.001915736,0.001621103,0.01876825,0.001120271,0.2733602],"genre_scores_gemma":[0.8821175,0.01394989,0.02892434,0.002856527,0.0004233503,0.0007681884,0.01215665,0.00008656416,0.05871704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009645483,"threshold_uncertainty_score":0.01917869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286854427552592,"score_gpt":0.2344552151801347,"score_spread":0.2057697724248755,"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."}}