{"id":"W2043912309","doi":"10.1088/1742-6596/341/1/012017","title":"Load Balancing Issues with Constructing Phylogenetic Trees using Neighbour-Joining Algorithm","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phylogenetic tree; Correctness; Tree (set theory); Computer science; Phylogenetic network; Algorithm; Computational phylogenetics; Theoretical computer science; Mathematics; Combinatorics; Biology","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":[0.002834175,0.0005870425,0.001157428,0.001144009,0.002430372,0.002066808,0.002525676,0.001209326,0.00211846],"category_scores_gemma":[0.008838867,0.0005975153,0.0006938636,0.001818976,0.0006629258,0.003530878,0.001215443,0.001155431,0.001236499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005635056,"about_ca_system_score_gemma":0.001337943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399715,"about_ca_topic_score_gemma":0.002261076,"domain_scores_codex":[0.9972357,0.0009224922,0.0002479244,0.0004202464,0.0009179984,0.0002556421],"domain_scores_gemma":[0.9962149,0.001788275,0.0002114303,0.0006214582,0.001034401,0.0001295167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00121616,0.0004356229,0.01148349,0.001148768,0.0002933863,0.0009064288,0.003398841,0.2055832,0.1493236,0.05083888,0.006322124,0.5690496],"study_design_scores_gemma":[0.0001295083,0.0002271047,0.002313108,0.00005566216,0.0001345823,0.0005543505,0.0007544127,0.8390698,0.06447329,0.06616008,0.02598116,0.0001469249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07565318,0.0006949615,0.9170715,0.0004311337,0.0001459442,0.00007639908,0.00008107804,0.002653972,0.003191785],"genre_scores_gemma":[0.3526289,0.0005427008,0.6439336,0.00007888818,0.00009887973,0.0001188014,0.0003267305,0.0004472818,0.001824181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002834175,"threshold_uncertainty_score":0.01498872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123532231346246,"score_gpt":0.2547317301357503,"score_spread":0.2334964078222878,"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."}}