{"id":"W4394083337","doi":"10.6084/m9.figshare.13281269","title":"Selective disappearance does not underlie age-related changes in trait repeatability in red squirrels - data, meta-data, and code","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trait; Repeatability; Code (set theory); Biology; Statistics; Computer science; Mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005359772,0.001327607,0.001606384,0.004802625,0.001299134,0.002797583,0.00403622,0.00205594,0.05608755],"category_scores_gemma":[0.02807103,0.001028585,0.002666339,0.006555033,0.0008512585,0.001859779,0.002481149,0.00150775,0.01806431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844134,"about_ca_system_score_gemma":0.003279644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04055086,"about_ca_topic_score_gemma":0.08510815,"domain_scores_codex":[0.997516,0.0005115746,0.0003946253,0.0008039848,0.0004301042,0.0003436178],"domain_scores_gemma":[0.9859076,0.008305419,0.001233482,0.002534111,0.001374325,0.0006452258],"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":[0.0003971374,0.00005806252,0.0303221,0.006372415,0.001986879,0.0001264039,0.0002258375,0.002108255,0.0006291616,0.00164959,0.9485958,0.007528409],"study_design_scores_gemma":[0.003821743,0.0001103722,0.1408603,0.002603173,0.002727362,0.0004042085,0.0003813717,0.003609233,0.001256945,0.007875632,0.8360916,0.0002580771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001349928,0.0002069249,0.0001823219,0.0001845779,0.00003893347,0.00002009638,0.9970764,0.0004534494,0.0004873272],"genre_scores_gemma":[0.0127513,0.0001557147,0.00108043,0.0001756512,0.00001635638,0.0002862262,0.9844276,0.0003617273,0.0007449865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05608755,"threshold_uncertainty_score":0.1876315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1400408776256221,"score_gpt":0.3222761592247186,"score_spread":0.1822352815990966,"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."}}