{"id":"W6948191392","doi":"10.5061/dryad.7tp3sg0","title":"Data from: Population genomics through time provides insights into the consequences of decline and rapid demographic recovery through head-starting in a Galapagos giant tortoise","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tortoise; Population; Population bottleneck; Genetic diversity; Population size; Effective population size; Population genomics; Population genetics; Genetic variation","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":[0.0004718915,0.0001612409,0.000166945,0.000918058,0.0002635841,0.0004706133,0.0001957949,0.0002036865,0.002393658],"category_scores_gemma":[0.0008986039,0.0001104805,0.00025954,0.001136809,0.0002529875,0.0002903559,0.0004212614,0.0003301216,0.0005016924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581649,"about_ca_system_score_gemma":0.0001822997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006578746,"about_ca_topic_score_gemma":0.01368527,"domain_scores_codex":[0.9998253,0.00003701855,0.00001074531,0.00007348767,0.00003158562,0.00002193756],"domain_scores_gemma":[0.9993978,0.0001659003,0.0001339099,0.0000785661,0.0001449134,0.0000790192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002505223,0.00005944245,0.9027411,0.0002619062,0.0002091584,0.0002636358,0.002108471,0.001915563,0.03318672,0.000701033,0.006970049,0.05133241],"study_design_scores_gemma":[0.000008985452,0.00002332919,0.9910896,0.00002081458,0.00004043382,0.000110298,0.000242991,0.0009854077,0.0005985482,0.000273013,0.006596528,0.00001007367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9746801,0.0002498979,0.002405222,0.0002729613,0.00001989689,0.00002373413,0.019169,0.0001341958,0.00304497],"genre_scores_gemma":[0.9714848,0.0001732465,0.004986354,0.00020405,0.00002301434,0.00005407404,0.02194855,0.00004168703,0.001084264],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006578746,"threshold_uncertainty_score":0.01308089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042146679705955,"score_gpt":0.2778341069157962,"score_spread":0.2356874272098412,"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."}}