{"id":"W6948681032","doi":"10.5061/dryad.dm3hb40","title":"Data from: Genome-wide assessment of diversity and divergence among extant Galápagos giant tortoise species","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tortoise; Genetic diversity; Microsatellite; Mitochondrial DNA; Conservation genetics; Population; Population genetics; Extant taxon","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006099993,0.0004230731,0.0005579742,0.00006286239,0.0005534605,0.00006884731,0.003538517,0.0003165824,0.00006128762],"category_scores_gemma":[0.00006262294,0.0003556561,0.00004458372,0.00008336272,0.0008781552,0.00002712903,0.02571797,0.0003134228,0.000002266481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001036682,"about_ca_system_score_gemma":0.0000656879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316564,"about_ca_topic_score_gemma":0.009752916,"domain_scores_codex":[0.99722,0.0002024244,0.0004343247,0.001372826,0.0003509286,0.0004194977],"domain_scores_gemma":[0.9961068,0.000177412,0.0003905285,0.003064341,0.00003796913,0.0002229636],"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":[0.000126873,0.0001236016,0.1350859,0.0006021454,0.0005678583,0.00004633419,0.0002678577,0.000005981253,0.001584788,6.314172e-7,0.8601562,0.001431885],"study_design_scores_gemma":[0.0002956786,0.0001852714,0.3885568,0.0003433672,0.0002928597,0.000005642745,0.0002642753,0.003112178,0.00002433149,0.00001743165,0.6064558,0.0004463218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2148122,0.001969565,0.0005392031,0.0000211611,0.0002644229,0.0001410842,0.7821981,0.00001485004,0.0000394711],"genre_scores_gemma":[0.02420352,0.0150835,0.001817075,0.0001220779,0.0005928855,0.00000399291,0.9580957,0.00001811155,0.00006313988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2537004,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04649933439612716,"score_gpt":0.2907456257808825,"score_spread":0.2442462913847554,"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."}}