{"id":"W6893961791","doi":"10.5281/zenodo.6091586","title":"Anagyrus lapachosus Triapitsyn, Aguirre & Logarzo, sp. n.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scape; Holotype; Paratype; Pedicel; 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":[0.0001036314,0.0007390389,0.0004312099,0.002006867,0.0009936903,0.0002782357,0.0006575882,0.000430094,0.009799697],"category_scores_gemma":[0.0002685353,0.0002727333,0.0001985237,0.001100576,0.0006612329,0.0008051801,0.0006257074,0.0005556883,0.003425788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960064,"about_ca_system_score_gemma":0.0004712829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230349,"about_ca_topic_score_gemma":0.05382213,"domain_scores_codex":[0.9998828,0.00000789802,0.000009044215,0.00004722859,0.00003708322,0.00001592586],"domain_scores_gemma":[0.9998672,0.00001589214,0.00005898226,0.00001003872,0.0000333569,0.00001442273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001004338,0.0002408421,0.07003392,0.00271476,0.0001794764,0.00768163,0.003763771,0.001038386,0.07721145,0.005711253,0.03465757,0.7957627],"study_design_scores_gemma":[0.0001798195,0.0003114936,0.7953324,0.0007955246,0.000151669,0.01164391,0.002669943,0.0004292794,0.002023743,0.001279555,0.1851359,0.00004680371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459139,0.03103958,0.00646921,0.0009820162,0.001005384,0.001800696,0.0058931,0.001107342,0.4057888],"genre_scores_gemma":[0.961115,0.007384344,0.005128698,0.0004163562,0.0003065526,0.0004876986,0.001971201,0.00007381234,0.02311629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0230349,"threshold_uncertainty_score":0.04580164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480203885694337,"score_gpt":0.2100722547740186,"score_spread":0.1620518662045849,"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."}}