{"id":"W2161909415","doi":"10.1080/10635150590949832","title":"The Shape of Supertrees to Come: Tree Shape Related Properties of Fourteen Supertree Methods","year":2005,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Supertree; Tree (set theory); Mathematics; Weighting; Algorithm; Computer science; Biology; Combinatorics; Phylogenetics","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":[0.0008576877,0.0001535429,0.0004548445,0.00005384647,0.00009495382,0.000008485935,0.0004155485,0.000178594,0.00002606903],"category_scores_gemma":[0.0004126063,0.0000883998,0.0001337444,0.00008525375,0.0001761686,0.000002129522,0.0002180866,0.00005734622,0.00001066512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005849695,"about_ca_system_score_gemma":0.00003864125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002832306,"about_ca_topic_score_gemma":0.00004275083,"domain_scores_codex":[0.9984491,0.0004073726,0.0005931803,0.0002329767,0.00008811869,0.0002291778],"domain_scores_gemma":[0.9991209,0.00009151595,0.0001787911,0.0004029988,0.0001438389,0.00006198787],"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":[0.00007295887,0.00005624859,0.004253978,0.001704943,0.0002537608,3.725566e-7,0.0004392396,0.00004278354,0.9896056,0.0006120756,0.0002555919,0.002702434],"study_design_scores_gemma":[0.002138377,0.003160546,0.009769896,0.003663725,0.0004418326,0.0001385928,0.006575318,0.01153478,0.9542769,0.000522341,0.006776421,0.001001337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941831,0.003585607,0.0003578601,0.0006274396,0.0001160321,0.0004504017,0.0000202864,0.00001005985,0.000649215],"genre_scores_gemma":[0.9963788,0.00008670777,0.00299019,0.0000908886,0.00004363979,0.00002303462,0.00001086218,0.000008071886,0.0003677876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03532878,"threshold_uncertainty_score":0.3604839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794076513752916,"score_gpt":0.2790204599129377,"score_spread":0.2510796947754086,"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."}}