{"id":"W3214184272","doi":"10.1016/j.tpb.2022.09.001","title":"When can we reconstruct the ancestral state? A unified theory","year":2022,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Dalhousie University; University of Delaware; National Science Foundation","keywords":"Sequence (biology); Bounded function; State (computer science); Equivalence (formal languages); Tree (set theory); Consistency (knowledge bases); Brownian motion; Statistical physics; Mathematics; Evolutionary biology; Computer science; Biology; Algorithm; Pure mathematics; Combinatorics; Discrete mathematics; Statistics; Mathematical analysis; Physics; Genetics","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":[0.0005328605,0.0001280049,0.0001224095,0.00003488397,0.0002822465,0.00001123713,0.0002849152,0.00008312151,0.0008981058],"category_scores_gemma":[0.00009382104,0.00008582618,0.00007477331,0.00008470852,0.0006248272,0.000001330749,0.0002000588,0.0001851646,0.000006653281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002792143,"about_ca_system_score_gemma":0.00005168543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002751166,"about_ca_topic_score_gemma":0.00004717293,"domain_scores_codex":[0.9983611,0.0007538955,0.0002377204,0.0002927163,0.00008775166,0.0002668447],"domain_scores_gemma":[0.9994285,0.00005351361,0.00008384698,0.0003382777,0.00003167841,0.00006422745],"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":[0.0002365204,0.00003110563,0.007921726,0.000002825042,0.00003495931,8.14966e-7,0.0001304127,0.0008786289,0.007860446,0.9716273,0.0005048627,0.01077041],"study_design_scores_gemma":[0.0003945846,0.0003551382,0.006583479,0.000001443671,0.00001636402,0.000055566,0.0002664655,0.001221411,0.0004326618,0.9784163,0.01205869,0.0001978858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806108,0.0003703796,0.009081367,0.005941879,0.0005293882,0.0003198462,0.0001992177,0.00004048668,0.002906594],"genre_scores_gemma":[0.9969869,0.00005580124,0.0003987524,0.001007181,0.0001048498,0.00003565146,0.0005970503,0.00001527885,0.0007985036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637609,"threshold_uncertainty_score":0.9833629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009199927148871188,"score_gpt":0.2554683609097496,"score_spread":0.2462684337608784,"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."}}