{"id":"W6892587498","doi":"10.5281/zenodo.10539136","title":"Molecular phylogeny and biogeography of the aquatic dance fly subfamily Clinocerinae (Diptera: Empididae)","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Biogeography; Subfamily; Phylogenetics; Mega-; Molecular phylogenetics; Nexus (standard); Dance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001770937,0.001566734,0.001661581,0.007211238,0.001581545,0.002025144,0.002596302,0.001582053,0.4906701],"category_scores_gemma":[0.01126866,0.0009768631,0.001225604,0.01453084,0.0004040566,0.002040193,0.001500616,0.00180476,0.152645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531137,"about_ca_system_score_gemma":0.002897719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066921,"about_ca_topic_score_gemma":0.01502429,"domain_scores_codex":[0.9986714,0.00016377,0.0002596354,0.0003469936,0.0003425863,0.0002155524],"domain_scores_gemma":[0.9911795,0.00427332,0.001033909,0.0008208342,0.001903132,0.0007893182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004965019,0.0001594792,0.008623254,0.003079693,0.0001305949,0.0001684205,0.0002828799,0.000879652,0.003726399,0.001467551,0.9672114,0.01377426],"study_design_scores_gemma":[0.001218955,0.0002342136,0.08473872,0.002314177,0.0002572821,0.0005766905,0.0007718224,0.002476091,0.002891237,0.005379155,0.8989767,0.0001649557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00117119,0.00005202429,0.0003829137,0.00009689708,0.000119763,0.00002397385,0.9968371,0.0003036051,0.001012478],"genre_scores_gemma":[0.003043464,0.0001057339,0.002868539,0.00009140166,0.00006160358,0.0002057866,0.9920812,0.0002732523,0.001269124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4906701,"threshold_uncertainty_score":0.7264973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676844686926115,"score_gpt":0.2403696251047513,"score_spread":0.2236011782354902,"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."}}