{"id":"W4384693606","doi":"10.5802/ahl.170","title":"On the boundary classification of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mi>Λ</mml:mi> </mml:math> -Wright–Fisher processes with frequency-dependent selection","year":2023,"lang":"en","type":"article","venue":"Annales Henri Lebesgue","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Agence Nationale de la Recherche","keywords":"Boundary (topology); Mathematics; Population; Lebesgue measure; Wright; Discrete mathematics; Mathematical analysis; Computer science; Lebesgue integration","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004964254,0.0002377136,0.000186358,0.00009150441,0.0004262427,0.000146576,0.0003480624,0.0002290316,0.00007873119],"category_scores_gemma":[0.001509561,0.0001986806,0.0001074235,0.0005222355,0.0001891142,0.0002006304,0.00009021459,0.0003455379,0.0004153744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895453,"about_ca_system_score_gemma":0.0004997269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007553942,"about_ca_topic_score_gemma":0.0004374703,"domain_scores_codex":[0.9979652,0.00005425141,0.0004514545,0.0004081823,0.0007125539,0.0004083334],"domain_scores_gemma":[0.9975743,0.001282915,0.0003776319,0.0004364003,0.0002270912,0.0001016584],"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":[0.0001224829,0.0001426894,0.000006002535,0.0009175555,0.0001288713,0.00003273365,0.0007690765,0.00003806006,0.0007442614,0.9941726,0.002322786,0.0006028881],"study_design_scores_gemma":[0.0008022197,0.002023909,0.000218076,0.001461327,0.00048002,0.0002367622,0.002625762,0.4190236,0.02129648,0.5491207,0.001958274,0.0007527912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584349,0.0001511034,0.0367419,0.0006567682,0.0002302336,0.000130466,0.00007791431,0.0002012381,0.003375441],"genre_scores_gemma":[0.9966186,0.0001537933,0.002176678,0.0002458603,0.0001736161,0.0002743529,0.00006539033,0.00008534348,0.0002063661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450518,"threshold_uncertainty_score":0.8101961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062900018970798,"score_gpt":0.2767673416311334,"score_spread":0.2361383414414255,"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."}}