{"id":"W2996913857","doi":"10.1186/s12859-019-3292-5","title":"LMAP_S: Lightweight Multigene Alignment and Phylogeny eStimation","year":2019,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian National University; University of Ottawa; Konkuk University; Helsingin Yliopisto","keywords":"Workflow; Computer science; Software; Data mining; File format; DNA microarray; Workstation; Biology; Database; Gene; Programming language","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":[0.004654511,0.003525753,0.001959486,0.003251887,0.001749551,0.00278215,0.00540487,0.001931968,0.01987547],"category_scores_gemma":[0.01249985,0.002172841,0.003396593,0.003405211,0.0009670698,0.003727663,0.00383773,0.004492908,0.0240481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001456,"about_ca_system_score_gemma":0.003314997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664495,"about_ca_topic_score_gemma":0.002571363,"domain_scores_codex":[0.9971641,0.0008199658,0.000242195,0.000828129,0.0007452905,0.0002004018],"domain_scores_gemma":[0.9958816,0.002065991,0.000584512,0.0006643659,0.0005312854,0.000272267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00202478,0.0003548243,0.009184751,0.004053699,0.001174484,0.0009569535,0.001189588,0.03605412,0.05441266,0.01517676,0.4593297,0.4160877],"study_design_scores_gemma":[0.0005183584,0.0004698003,0.008971005,0.0006037708,0.0003352032,0.001462422,0.0003214059,0.5856467,0.07768141,0.03648027,0.2869852,0.0005242801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00543956,0.0004419485,0.7139072,0.0002872568,0.0001940876,0.0002036441,0.01494577,0.2630627,0.001517797],"genre_scores_gemma":[0.02644929,0.0003972028,0.8960292,0.0003430363,0.0001011134,0.001199196,0.04031032,0.03338114,0.001789558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01987547,"threshold_uncertainty_score":0.06649005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008499432732594413,"score_gpt":0.2180940637256301,"score_spread":0.2095946309930357,"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."}}