{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002597307,0.000340597,0.0006587401,0.001050252,0.0004861974,0.00149999,0.001710404,0.001581596,0.001030008],"category_scores_gemma":[0.02160208,0.0006139059,0.0006953882,0.0006348595,0.001335653,0.00348723,0.001582204,0.001050176,0.0001291954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621324,"about_ca_system_score_gemma":0.0006916572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005211887,"about_ca_topic_score_gemma":0.003314038,"domain_scores_codex":[0.9994751,0.0002283603,0.00002432076,0.0001324622,0.00007845784,0.00006142799],"domain_scores_gemma":[0.9892147,0.008699868,0.0008687816,0.0005845063,0.0003070624,0.0003251481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006292041,0.00002789101,0.01102498,0.00003246076,0.00003748988,0.0001074304,0.0001507857,0.9316434,0.001146347,0.04848101,0.0003029402,0.006982465],"study_design_scores_gemma":[0.000003402261,0.000005328723,0.0005076059,0.000002819188,0.000002064991,0.00001294416,0.000007591721,0.9808939,0.0001363194,0.01837394,0.00004988503,0.000004287282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5531408,0.0002415045,0.4430677,0.0007086612,0.00002528907,0.00002017552,0.0001959159,0.0004695792,0.002130307],"genre_scores_gemma":[0.9340271,0.0001510588,0.06466252,0.00009252888,0.00004229128,0.00003302439,0.0002581879,0.00008656539,0.0006465403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005211887,"threshold_uncertainty_score":0.01373601,"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."}}