{"id":"W1534962401","doi":"10.1007/978-3-540-73545-8_8","title":"Integer Programming Formulations and Computations Solving Phylogenetic and Population Genetic Problems with Missing or Genotypic Data","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Missing data; Phylogenetic tree; Integer programming; Genotype; Genetic data; Integer (computer science); Computation; Genetic programming; Population; Mathematics; Mathematical optimization; Computer science; Biology; Statistics; Genetics; Algorithm; Artificial intelligence; Programming language; Demography; Sociology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004369581,0.001914905,0.002131926,0.0009836785,0.001075049,0.0049792,0.003164336,0.002771759,0.009445913],"category_scores_gemma":[0.01417734,0.001792527,0.001987667,0.003145266,0.001915625,0.004920904,0.001734446,0.005281915,0.001166505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920833,"about_ca_system_score_gemma":0.00212646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005705534,"about_ca_topic_score_gemma":0.007387337,"domain_scores_codex":[0.9981799,0.0008336387,0.0001017031,0.0003054998,0.0003642387,0.0002150501],"domain_scores_gemma":[0.9904235,0.008309033,0.0003805849,0.0002842449,0.000442414,0.0001602387],"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":[0.000151734,0.0002380135,0.0004864588,0.0004815692,0.00007448418,0.0001086884,0.0002363662,0.6642108,0.0004201918,0.2538345,0.01369847,0.06605871],"study_design_scores_gemma":[0.00004143181,0.00002578462,0.00009221262,0.00004639948,0.00002086138,0.00002568799,0.00007786816,0.8091637,0.0002056301,0.1873219,0.002965926,0.00001250375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01088518,0.001955789,0.9705409,0.001959611,0.000288565,0.0001092558,0.0005591568,0.0002475622,0.01345393],"genre_scores_gemma":[0.1015073,0.002079358,0.8799265,0.0005703176,0.0006496048,0.0006342624,0.0009790619,0.0003099659,0.01334354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009445913,"threshold_uncertainty_score":0.0315997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867889263134464,"score_gpt":0.2933822906259842,"score_spread":0.2547033979946396,"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."}}