{"id":"W2168047871","doi":"10.1093/bioinformatics/btq355","title":"TreesimJ: a flexible, forward time population genetic simulator","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; McGill University; National Science Foundation","keywords":"Computer science; Population; Simulation; Genetic algorithm; Machine learning; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075636,0.0005792315,0.0005866918,0.0005560322,0.0005317075,0.001147423,0.002838359,0.001319483,0.01386413],"category_scores_gemma":[0.006203355,0.0005704546,0.0009236465,0.0008000729,0.0004579616,0.001372952,0.0009616246,0.001625544,0.003305787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434537,"about_ca_system_score_gemma":0.00173111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008592096,"about_ca_topic_score_gemma":0.007354026,"domain_scores_codex":[0.9996862,0.00006720419,0.00002332321,0.00005123407,0.000132224,0.00003972133],"domain_scores_gemma":[0.9979396,0.001295563,0.00009578355,0.0002092322,0.0003264017,0.0001333413],"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":[0.0003810726,0.0001980256,0.007900222,0.0005832398,0.0001981885,0.0003669618,0.0004747199,0.7431588,0.007320272,0.04515934,0.1025054,0.09175371],"study_design_scores_gemma":[0.0001245467,0.00002718906,0.0004058559,0.000022217,0.00003149997,0.0000650086,0.00001721256,0.9628894,0.00271296,0.009473781,0.02420303,0.00002727346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03312884,0.0002771548,0.8564024,0.0006634146,0.0003439659,0.0002783012,0.01320094,0.07517733,0.02052758],"genre_scores_gemma":[0.3125176,0.0008653886,0.6232151,0.0008604817,0.0001382481,0.00156809,0.022035,0.0189651,0.01983503],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01386413,"threshold_uncertainty_score":0.04638016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006045611241174022,"score_gpt":0.2217655190438631,"score_spread":0.215719907802689,"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."}}