{"id":"W4394278790","doi":"10.6084/m9.figshare.22814312","title":"Data and R Code for Estimates of life history parameters in a high latitude, arid- country vervet monkey population","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Geography; Arid; Code (set theory); Population; Latitude; Genealogy; History; Demography; Biology; Ecology; Computer science; Sociology; Geodesy; Programming language","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001309887,0.0002474405,0.0007289029,0.0002617957,0.00001711279,0.000008327293,0.0003059741,0.0004730731,0.001855299],"category_scores_gemma":[0.008720782,0.0002323542,0.00003807123,0.0001165565,0.00002124382,0.00007232551,0.0002684298,0.0002615882,0.0001674672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999125,"about_ca_system_score_gemma":0.0002145524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670664,"about_ca_topic_score_gemma":0.00542562,"domain_scores_codex":[0.9986688,0.00004182585,0.0003774307,0.0005087426,0.0001806615,0.0002224771],"domain_scores_gemma":[0.997591,0.001025938,0.0003305067,0.0008876544,0.00006569012,0.00009926017],"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":[0.0001775661,0.00004388429,0.0006456873,0.003912819,0.0000914963,0.00002935326,0.00000623201,0.0000257723,0.000004420208,6.933931e-7,0.9950193,0.00004282293],"study_design_scores_gemma":[0.001332547,0.0002434255,0.0212093,0.003666124,0.0001433002,0.000006238974,0.000004204531,0.002158078,0.000004688009,0.00001262718,0.971006,0.0002134923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004930585,0.001348026,4.614946e-7,0.00008588276,0.000218947,0.001026956,0.9967788,0.00004599857,0.000001818921],"genre_scores_gemma":[0.00009600061,0.00006259613,0.0005761077,0.0002924123,0.00009513245,0.0002798685,0.9985388,0.0000386106,0.00002047627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02401328,"threshold_uncertainty_score":0.9996292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166641789296957,"score_gpt":0.3401478024111982,"score_spread":0.2234836234815025,"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."}}