{"id":"W2105580430","doi":"10.1080/10635150701245370","title":"Properties of Supertree Methods in the Consensus Setting","year":2007,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Supertree; Biology; Evolutionary biology; Computational biology; Phylogenetic tree; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.03047875,0.001371598,0.002658339,0.003374788,0.003776133,0.005136401,0.004337938,0.004855323,0.01225517],"category_scores_gemma":[0.113946,0.001608846,0.002295958,0.004890856,0.007882698,0.01656133,0.009167301,0.009082715,0.004927661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591993,"about_ca_system_score_gemma":0.003313109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685721,"about_ca_topic_score_gemma":0.001788669,"domain_scores_codex":[0.9804938,0.008845667,0.001050571,0.002522401,0.006344238,0.0007433117],"domain_scores_gemma":[0.8524465,0.1099726,0.006346205,0.01658044,0.01177443,0.002879811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001172044,0.00005157735,0.001367798,0.0003992469,0.0001023442,0.0001927499,0.001106932,0.03378206,0.00125344,0.8884335,0.007383238,0.06580994],"study_design_scores_gemma":[0.00002394119,0.00004706997,0.0001981558,0.0001049194,0.00002557842,0.0002237138,0.0001213353,0.1089467,0.0006103077,0.8805211,0.009143583,0.00003363984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003526288,0.0008742395,0.9875885,0.001024052,0.0001447141,0.00006453222,0.0001013431,0.0003530785,0.006323341],"genre_scores_gemma":[0.1616972,0.002741896,0.8200163,0.001991285,0.001252276,0.001013444,0.0006736809,0.001742947,0.008870903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03047875,"threshold_uncertainty_score":0.161189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593069055954105,"score_gpt":0.3218174571059653,"score_spread":0.2858867665464243,"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."}}