{"id":"W3217032040","doi":"10.1079/dfb/20193512565","title":"<i>Paranectria oropensis</i> . [Descriptions of Fungi and Bacteria].","year":2019,"lang":"en","type":"article","venue":"Descriptions of Fungi and Bacteria","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biological dispersal; Distribution (mathematics); China; Habitat; Environmental protection; Ecology; Archaeology; Demography; Biology; Population","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":[0.0001510357,0.0008822848,0.0004177002,0.001387299,0.0006754173,0.00064878,0.0005263983,0.0004281115,0.01535187],"category_scores_gemma":[0.0002893451,0.0001778969,0.0002072377,0.001464522,0.0006122788,0.0008576755,0.0009591851,0.0007358852,0.00621826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411173,"about_ca_system_score_gemma":0.0006652314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006881884,"about_ca_topic_score_gemma":0.01039061,"domain_scores_codex":[0.9997908,0.00002813286,0.00003850249,0.00005306932,0.00005966056,0.00002973679],"domain_scores_gemma":[0.9998814,0.00001754797,0.00004580956,0.0000147955,0.00003103312,0.000009487232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008206203,0.0001622446,0.007548674,0.003844751,0.00004675176,0.01492655,0.002433371,0.0005643657,0.1146229,0.01275613,0.06123209,0.7810417],"study_design_scores_gemma":[0.0000140959,0.000192714,0.01827259,0.0003203395,0.0000226413,0.004591094,0.0004339255,0.00008394985,0.003378584,0.0006757217,0.9719964,0.00001795257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.144639,0.04976984,0.01168257,0.004974343,0.006210189,0.002989074,0.0176591,0.0008942881,0.7611817],"genre_scores_gemma":[0.5491714,0.06826697,0.049562,0.004877025,0.001354584,0.00140297,0.02404919,0.0003541639,0.3009616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01535187,"threshold_uncertainty_score":0.05135709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475058185902602,"score_gpt":0.2363732136590388,"score_spread":0.2216226318000128,"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."}}