{"id":"W6949929695","doi":"10.5281/zenodo.4340467","title":"Trichocoelina tecta Vilkamaa & Menzel 2019, sp. n.","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Dorsum; Holotype; Antenna (radio); Scutellum","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":[0.0001600385,0.0008088231,0.0003620179,0.001927478,0.003130933,0.0006853842,0.0006009741,0.0006907663,0.02103289],"category_scores_gemma":[0.0005240017,0.0004041901,0.0002951107,0.00131314,0.0008964604,0.001126987,0.001087741,0.0007566862,0.005926188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346059,"about_ca_system_score_gemma":0.0008870959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03146914,"about_ca_topic_score_gemma":0.04410255,"domain_scores_codex":[0.9997992,0.0000194683,0.00001691059,0.00008178648,0.00005533391,0.00002738428],"domain_scores_gemma":[0.9998096,0.00003291257,0.00006257268,0.00002040007,0.00004003082,0.0000345656],"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":[0.001270445,0.0002346482,0.0665664,0.001779309,0.0002411901,0.004494954,0.006754012,0.002133599,0.06830257,0.009115316,0.0391651,0.7999425],"study_design_scores_gemma":[0.0001757773,0.0002877008,0.4671722,0.0009074333,0.0003137887,0.01078465,0.004150673,0.001785657,0.003748964,0.001690862,0.5089029,0.00007953146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3677269,0.01119641,0.006947315,0.0008776514,0.0008709386,0.000874545,0.005690222,0.0008159722,0.605],"genre_scores_gemma":[0.924966,0.003584063,0.004771123,0.0005544058,0.0002242191,0.0003066645,0.002412299,0.00008254471,0.06309873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03146914,"threshold_uncertainty_score":0.07036203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069090193113925,"score_gpt":0.2096477586821222,"score_spread":0.1889568567509829,"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."}}