{"id":"W4415596175","doi":"10.1016/j.tpb.2025.10.003","title":"Computing tree size under dynamical models of diversification","year":2025,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Inference; Tree (set theory); Phylogenetic tree; Diversification (marketing strategy); Sampling (signal processing); Tree rearrangement; Variety (cybernetics); Sampling bias","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":[0.0001925621,0.00006524121,0.0001326939,0.00002722188,0.0001006886,0.000002071049,0.0001007317,0.0001092874,0.0003712791],"category_scores_gemma":[0.0001240499,0.00005684996,0.00003502774,0.0001359296,0.0007653768,0.00003800448,0.0001317272,0.00006983522,0.00001951195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006099411,"about_ca_system_score_gemma":0.000003090115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000380007,"about_ca_topic_score_gemma":0.00004435152,"domain_scores_codex":[0.9993274,0.0001213499,0.0002148781,0.0001716463,0.00004449409,0.0001202329],"domain_scores_gemma":[0.9993904,0.0004097122,0.00006419053,0.000104458,0.00001215198,0.00001909768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001991558,0.0000295122,0.1607478,0.000002489054,0.00001009121,4.616824e-8,0.00004389332,0.007252518,0.0006085169,0.8300661,0.00001371285,0.001205388],"study_design_scores_gemma":[0.0001039514,0.00001576527,0.3458942,0.000002093927,0.000009018836,1.620191e-7,0.00002276479,0.1383918,0.000014922,0.5155126,0.000002287595,0.00003044537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8098992,0.00001122546,0.1559507,0.001094586,0.0001040265,0.00009710793,0.000003145256,0.00002737299,0.03281269],"genre_scores_gemma":[0.9979732,0.000004934237,0.001657646,0.0002413903,0.000005743804,0.000002094959,0.00002405585,0.000002409362,0.00008850075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3145536,"threshold_uncertainty_score":0.4065246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026853536444781,"score_gpt":0.2656562209783199,"score_spread":0.2553876856138721,"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."}}