{"id":"W7133207685","doi":"10.5061/dryad.j9kd51cjf","title":"Data from: Retracing the response of Rangifer to postglacial climate change in Arctic islands","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Arctic; Ice sheet; Arctic ice pack; Population; Sea ice; Climate change; Last Glacial Maximum; Glacial period; Ice age","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":[0.001147794,0.000202608,0.000229533,0.001091566,0.0003775096,0.0005923615,0.0004968375,0.0004593418,0.002271581],"category_scores_gemma":[0.00312951,0.0001611652,0.0003073332,0.001423905,0.0002227213,0.0002430768,0.0005068284,0.0003425479,0.001133295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000467163,"about_ca_system_score_gemma":0.0005501686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02277548,"about_ca_topic_score_gemma":0.0481159,"domain_scores_codex":[0.9994026,0.0001604135,0.00006622615,0.0001935198,0.0001311723,0.00004598731],"domain_scores_gemma":[0.9970443,0.0008031111,0.000759275,0.0004626835,0.0007302295,0.0002004052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007401473,0.0002211205,0.9136076,0.000714428,0.0005667621,0.0005358867,0.00168188,0.01257862,0.00660303,0.0007460975,0.0238497,0.03815478],"study_design_scores_gemma":[0.00005779283,0.0001357814,0.9455054,0.000122371,0.0001313688,0.0002039615,0.0003883607,0.004839772,0.002219257,0.0004421061,0.04591712,0.00003665718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7935225,0.000491961,0.001914496,0.0001045607,0.00002490498,0.00007654306,0.1999766,0.0001967382,0.003691758],"genre_scores_gemma":[0.6603364,0.0002704597,0.009794191,0.0001353261,0.00002938216,0.0003945081,0.3270574,0.00009654451,0.001885807],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02277548,"threshold_uncertainty_score":0.04528582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06465119811314089,"score_gpt":0.3581296809170835,"score_spread":0.2934784828039426,"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."}}