{"id":"W4393465229","doi":"10.5281/zenodo.5013683","title":"Data release: Population genomics of Schistosoma mansoni reveals extensive diversity with limited selection despite repeated mass drug administration","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Schistosoma mansoni; Population genomics; Selection (genetic algorithm); Diversity (politics); Mass drug administration; Genomics; Biology; Population; Computational biology; Genetics; Medicine; Genome; Zoology; Gene; Computer science; Schistosomiasis; Environmental health; Helminths; Political science","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":[0.003368861,0.001695218,0.001937408,0.0043605,0.002268211,0.003434319,0.002341532,0.002196989,0.2670216],"category_scores_gemma":[0.01630999,0.001598863,0.001825095,0.008804719,0.0007554592,0.002427698,0.003117146,0.003599504,0.1807824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613017,"about_ca_system_score_gemma":0.004090633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787263,"about_ca_topic_score_gemma":0.02521542,"domain_scores_codex":[0.9967017,0.0003052319,0.0003720643,0.0006197357,0.00139301,0.0006083619],"domain_scores_gemma":[0.9909818,0.002953852,0.0006531478,0.001965304,0.002635278,0.000810701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003226775,0.00004777802,0.002297441,0.001104819,0.00009552374,0.00008525886,0.0001980268,0.0002368223,0.002777051,0.001223044,0.9862362,0.00537551],"study_design_scores_gemma":[0.000681973,0.0001110777,0.02684556,0.0004573578,0.0001336138,0.0002593419,0.0002212873,0.0002712125,0.003335307,0.002249671,0.9653251,0.0001085814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004664819,0.00003044097,0.0004523905,0.0001647403,0.0001730158,0.0000271346,0.9957378,0.001017293,0.001930735],"genre_scores_gemma":[0.001643594,0.00008245884,0.001691833,0.0001570428,0.00003679823,0.0001853656,0.9923953,0.001165979,0.00264168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2670216,"threshold_uncertainty_score":0.8932762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380189233184421,"score_gpt":0.2881918312174107,"score_spread":0.2443899388855665,"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."}}