{"id":"W2303989044","doi":"10.1007/s00285-016-0992-6","title":"Topology and inference for Yule trees with multiple states","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Tree (set theory); Generalization; Random binary tree; Type (biology); Markov chain; Binary tree; Inference; Markov process; Discrete mathematics; Combinatorics; Computer science; Statistics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01352871,0.0007591021,0.002826649,0.003858313,0.002692695,0.004970358,0.00486068,0.004240564,0.003810282],"category_scores_gemma":[0.1148816,0.002377917,0.0027344,0.002904939,0.004235461,0.01540271,0.005033378,0.005606771,0.0004852352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706605,"about_ca_system_score_gemma":0.001473152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016049,"about_ca_topic_score_gemma":0.005141062,"domain_scores_codex":[0.9952714,0.002506271,0.0003651138,0.001103265,0.0004290832,0.0003249031],"domain_scores_gemma":[0.7954544,0.1863143,0.005961596,0.007155147,0.002951381,0.002163204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005981595,0.0001988682,0.02290026,0.0003860677,0.0005023916,0.0005666148,0.001213214,0.5131674,0.001220804,0.4080367,0.002936262,0.04827325],"study_design_scores_gemma":[0.00002160556,0.00002285778,0.001005343,0.0000289423,0.00002051416,0.00006628113,0.00005410182,0.6375095,0.0002111482,0.3607441,0.000290796,0.00002492606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1596414,0.0009532089,0.8357406,0.001468468,0.00004979633,0.00004078768,0.0007068616,0.0004914951,0.0009073343],"genre_scores_gemma":[0.8223416,0.0006644832,0.1711346,0.0003435447,0.000217794,0.0001857962,0.002678543,0.0002908678,0.002142738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01352871,"threshold_uncertainty_score":0.07154757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576833161337383,"score_gpt":0.2733729323390134,"score_spread":0.2476046007256396,"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."}}