{"id":"W4394334322","doi":"10.6084/m9.figshare.24226486","title":"Hygorphorus aesculeticola sp. nov. phylogeny files","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetics; Biology; Zoology; Evolutionary biology; Computer science; Genetics; Gene","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":[0.001355165,0.002662604,0.002870401,0.006169305,0.00227877,0.002200348,0.002643724,0.002272636,0.1317407],"category_scores_gemma":[0.003081141,0.001334944,0.001034487,0.009290717,0.0006292423,0.001815293,0.001828643,0.003558435,0.1148349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323636,"about_ca_system_score_gemma":0.003202051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008537143,"about_ca_topic_score_gemma":0.01880547,"domain_scores_codex":[0.9991238,0.000129678,0.0001156841,0.0002812242,0.0001635736,0.0001861192],"domain_scores_gemma":[0.9984114,0.0004750182,0.00019836,0.0003347713,0.000319722,0.0002606759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004136873,0.00009515171,0.002147391,0.005159489,0.0001161883,0.0001797424,0.0003212771,0.000600626,0.006124285,0.001576312,0.9701437,0.01312207],"study_design_scores_gemma":[0.0003185607,0.00003647654,0.006085146,0.0005751311,0.0001001699,0.0001528174,0.0001435742,0.0002083714,0.001000154,0.0007778268,0.9905657,0.00003610074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004381497,0.0000879626,0.0003128315,0.00003759927,0.00003997063,0.00002817563,0.9969333,0.0005281303,0.001593842],"genre_scores_gemma":[0.0006583474,0.00007794499,0.001308954,0.00003787438,0.000005210204,0.0001075165,0.9969974,0.000209065,0.0005978188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1317407,"threshold_uncertainty_score":0.4407165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294699208956208,"score_gpt":0.2494287642963172,"score_spread":0.2264817722067551,"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."}}