{"id":"W2130654549","doi":"10.1186/1748-7188-8-20","title":"Fast half-sibling population reconstruction: theory and algorithms","year":2013,"lang":"en","type":"article","venue":"Algorithms for Molecular Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Kinship; Computer science; Heuristic; Population; Inference; Inheritance (genetic algorithm); Cluster analysis; Integer (computer science); Theoretical computer science; Data mining; Machine learning; Artificial intelligence; Biology; Demography","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":[0.003422345,0.001140645,0.001206082,0.002033811,0.001379848,0.001683105,0.004167564,0.00207388,0.006487633],"category_scores_gemma":[0.01418486,0.0008719338,0.001511094,0.002492697,0.001422365,0.003624347,0.002570194,0.002491976,0.001732729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595753,"about_ca_system_score_gemma":0.002109898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080748,"about_ca_topic_score_gemma":0.004970049,"domain_scores_codex":[0.9986992,0.0004792302,0.00008372525,0.0002707088,0.0003349719,0.0001321917],"domain_scores_gemma":[0.9908469,0.006675729,0.0004810652,0.001026464,0.0007571218,0.0002126512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002430655,0.0001759189,0.005311549,0.0003652226,0.0001426522,0.0002022035,0.0004168943,0.5699641,0.001688181,0.110382,0.01121438,0.2998938],"study_design_scores_gemma":[0.00003005274,0.00001877165,0.0002634093,0.00002718998,0.00001563305,0.0001075773,0.00004895509,0.9099054,0.0005688288,0.08758961,0.001412643,0.00001182582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007748647,0.0003369909,0.9888713,0.0002620274,0.0000229475,0.00007337811,0.0001580117,0.0009014406,0.001625281],"genre_scores_gemma":[0.09128582,0.0003355918,0.9050992,0.000171644,0.00005343482,0.0002933533,0.0008847924,0.0002372924,0.00163896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006487633,"threshold_uncertainty_score":0.0217033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999279403419891,"score_gpt":0.266749084789505,"score_spread":0.2567562907553061,"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."}}