{"id":"W4385397331","doi":"10.1186/s13015-023-00231-5","title":"On the complexity of non-binary tree reconciliation with endosymbiotic gene transfer","year":2023,"lang":"en","type":"article","venue":"Algorithms for Molecular Biology","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Binary number; Tree (set theory); Genome; Gene; Gene duplication; Binary tree; Biology; Genetics; Computational biology; Computer science; Algorithm; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000262356,0.0001434741,0.0002022017,0.0000218974,0.0001267955,0.000008574276,0.0002602795,0.0001154403,0.00005058567],"category_scores_gemma":[0.00004974638,0.00004804333,0.0001381301,0.0004058878,0.0002550492,0.00002039266,0.00002767609,0.0000820659,0.00002287275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001785927,"about_ca_system_score_gemma":0.00001095486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159818,"about_ca_topic_score_gemma":0.0000830461,"domain_scores_codex":[0.9990228,0.000100532,0.0001872489,0.0002987582,0.0001052477,0.0002853921],"domain_scores_gemma":[0.9993807,0.0003423062,0.00005162977,0.0001030337,0.00008260367,0.00003974347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006438886,0.00004341475,0.0002393885,0.000004678665,0.00006082371,0.000003298503,0.00003604634,0.000002187922,0.9855954,0.004294415,0.0001026595,0.0095533],"study_design_scores_gemma":[0.0004771861,0.002537924,0.01871366,0.00001503184,0.00004362388,0.000007035255,0.00007945777,0.001036928,0.9655238,0.01114801,0.0002118377,0.0002055454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951038,0.00002468651,0.0004721853,0.003422954,0.00008822572,0.0005134789,0.0002016163,0.00005632808,0.0001166947],"genre_scores_gemma":[0.9983745,0.000004885998,0.0007124404,0.0003605402,0.00005094841,0.00007712017,0.0003746531,0.000002641187,0.00004225451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02007164,"threshold_uncertainty_score":0.195915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071512233507958,"score_gpt":0.253661973143377,"score_spread":0.2129468508082974,"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."}}