{"id":"W4386577574","doi":"10.59350/8x2cb-5h677","title":"EOL Phylogenetic Tree Challenge","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Tree (set theory); Tree rearrangement; Biology; Evolutionary biology; Mathematics; Combinatorics; Genetics; Gene","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":[0.01060492,0.00139699,0.002158793,0.002950985,0.004506893,0.008548367,0.003973664,0.005096706,0.08603341],"category_scores_gemma":[0.03296512,0.0008809243,0.001662234,0.003724947,0.001620507,0.01107,0.009970002,0.007647104,0.09798092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717477,"about_ca_system_score_gemma":0.004883785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520018,"about_ca_topic_score_gemma":0.01045643,"domain_scores_codex":[0.9929146,0.001828508,0.0003293892,0.001109334,0.002842125,0.0009759521],"domain_scores_gemma":[0.9799871,0.005599026,0.0004395489,0.003562432,0.005080368,0.005331406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008609822,0.00002681987,0.0001539758,0.0001457209,0.000009837119,0.00008488863,0.00007172307,0.0002861908,0.0005444238,0.01348042,0.9646574,0.02045234],"study_design_scores_gemma":[0.00004145718,0.00001487155,0.0003531713,0.0001086019,0.000004740918,0.000150645,0.00009737733,0.002110861,0.0004522414,0.02897009,0.9676719,0.00002401386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008308905,0.008950206,0.1517242,0.2019942,0.0292023,0.0005910663,0.2775407,0.06564646,0.256042],"genre_scores_gemma":[0.02748339,0.004036015,0.1438261,0.02297954,0.006510559,0.0008664568,0.666503,0.02559398,0.1022009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08603341,"threshold_uncertainty_score":0.2878104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03515973129034664,"score_gpt":0.3009308352372123,"score_spread":0.2657711039468656,"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."}}