{"id":"W3210696051","doi":"10.1093/molbev/msab300","title":"Lower Statistical Support with Larger Data Sets: Insights from the Ochrophyta Radiation","year":2021,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Phylogenetic tree; Plastid; Biology; Set (abstract data type); Tree (set theory); Data set; Evolutionary biology; Phylogenetics; Position (finance); Artificial intelligence; Computer science; Genetics; Mathematics; Chloroplast; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01052561,0.0007512223,0.001738868,0.002926731,0.001141122,0.002894417,0.00135982,0.001148131,0.001505039],"category_scores_gemma":[0.05204923,0.0004446015,0.0009637801,0.002306855,0.001952136,0.00404381,0.002756963,0.002840547,0.0004012876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004232395,"about_ca_system_score_gemma":0.000393885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006093389,"about_ca_topic_score_gemma":0.0008481083,"domain_scores_codex":[0.9940492,0.003116596,0.0005505816,0.001362292,0.0007305606,0.0001908808],"domain_scores_gemma":[0.920602,0.06455708,0.005061454,0.005952852,0.002249616,0.001577026],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001482748,0.0003612478,0.718792,0.001096581,0.001419278,0.002692325,0.007372846,0.02445093,0.1209387,0.009134619,0.000977501,0.1112811],"study_design_scores_gemma":[0.0001367718,0.0009563194,0.6253341,0.000353769,0.000863323,0.003497279,0.006040383,0.2407189,0.02560644,0.08793598,0.008260851,0.0002959594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740334,0.0009625963,0.02296103,0.0006625857,0.00002527012,0.00001326696,0.0003552341,0.0001301933,0.0008564404],"genre_scores_gemma":[0.9865345,0.0001920408,0.01223483,0.0001457366,0.00005436844,0.00001603078,0.000674987,0.00007589188,0.00007163821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9894744,"threshold_uncertainty_score":0.05566543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008479598091885079,"score_gpt":0.2506801768137339,"score_spread":0.2422005787218488,"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."}}