{"id":"W7080123358","doi":"10.5281/zenodo.17062913","title":"Paraconiothyrium archidendri Verkley, Goker and Stielow","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conidium; Taxonomy (biology); Snag; Host (biology); Key (lock)","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":[0.0000856422,0.0004575223,0.0001882641,0.0007141039,0.001116741,0.0004182613,0.0005443129,0.000694942,0.01133787],"category_scores_gemma":[0.000335637,0.000145302,0.000122132,0.0004892278,0.0004659365,0.000574497,0.0007321712,0.0006153974,0.004156051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008011,"about_ca_system_score_gemma":0.000794205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009880051,"about_ca_topic_score_gemma":0.02194983,"domain_scores_codex":[0.9998734,0.000009459439,0.000007164615,0.00004379435,0.00003833123,0.00002784285],"domain_scores_gemma":[0.9998146,0.00001736542,0.00003401346,0.00002874313,0.00007771316,0.00002762587],"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":[0.001092986,0.0002307355,0.04629561,0.0009887642,0.00005314787,0.01480313,0.002451291,0.001732577,0.2588073,0.01632275,0.02801082,0.6292109],"study_design_scores_gemma":[0.0001449017,0.0006785823,0.2204869,0.0004867365,0.00007988684,0.01291306,0.003409796,0.001677166,0.02148038,0.004501832,0.7340806,0.00006005944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4283342,0.004679066,0.006415354,0.001276235,0.0005610281,0.0004870454,0.002775641,0.0003393869,0.555132],"genre_scores_gemma":[0.922228,0.001529421,0.003742159,0.0004582185,0.0001145599,0.0001361104,0.002117709,0.00004202389,0.06963187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133787,"threshold_uncertainty_score":0.037929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728077446940777,"score_gpt":0.2261868956471761,"score_spread":0.2089061211777683,"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."}}