{"id":"W6929595011","doi":"10.5061/dryad.d7wm37q26","title":"Exon-based phylogenomics and the relationships of African cichlids: Tackling the challenges of reconstructing phylogenies with repeated rapid radiations","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature; University of Toronto","funders":"","keywords":"Phylogenomics; Phylogenetic tree; Coalescent theory; Phylogenetics; Lineage (genetic); Supertree; Cichlid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002678109,0.0001907629,0.0004171083,0.0001683597,0.0007150873,0.0002790416,0.001739458,0.00007225041,0.0002718449],"category_scores_gemma":[0.0004495066,0.0001181735,0.00005867606,0.0003853535,0.0003514869,0.0002795288,0.0005704401,0.0004001264,0.000001497283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002695693,"about_ca_system_score_gemma":0.0003903289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004303931,"about_ca_topic_score_gemma":0.0000398323,"domain_scores_codex":[0.998152,0.0003593393,0.0007621109,0.0002841048,0.0002844651,0.0001579792],"domain_scores_gemma":[0.9955193,0.001466006,0.001924004,0.0008898022,0.0001684587,0.00003240964],"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":[0.0005429058,0.0005819289,0.00032029,0.003536641,0.00197631,0.00001384506,0.2201274,0.04356338,0.0000613052,0.03612847,0.1049332,0.5882143],"study_design_scores_gemma":[0.006811583,0.000586266,0.000244376,0.00163618,0.000784035,0.0002831339,0.05635831,0.348481,0.001416593,0.007034449,0.5744777,0.001886442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03232082,0.01856236,0.09082951,0.01088694,0.00189031,0.01162952,0.8033699,0.00006765727,0.03044295],"genre_scores_gemma":[0.4091043,0.003038381,0.4046621,0.0005025297,0.0004059858,0.0005193091,0.1814667,0.0001319061,0.0001688323],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6219032,"threshold_uncertainty_score":0.5499946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05375899713502002,"score_gpt":0.2571911857383837,"score_spread":0.2034321886033637,"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."}}