{"id":"W3044078165","doi":"10.1126/science.abc5654","title":"Using paleo-archives to safeguard biodiversity under climate change","year":2020,"lang":"en","type":"review","venue":"Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Science Foundation of Sri Lanka; Australian Research Council; National Science Foundation; European Research Council; H2020 European Research Council; Danmarks Grundforskningsfond; Villum Fonden","keywords":"Safeguard; Biodiversity; Climate change; Environmental resource management; Environmental science; Earth science; Ecology; Geology; Business; Oceanography; Biology; International trade","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":[0.002167874,0.001069938,0.001520337,0.005757159,0.00066662,0.003165952,0.002085035,0.001905241,0.00825629],"category_scores_gemma":[0.003576591,0.0003148801,0.0007852617,0.00759784,0.001480447,0.005044196,0.00230187,0.001896315,0.003350502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024885,"about_ca_system_score_gemma":0.004003325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004295942,"about_ca_topic_score_gemma":0.006672925,"domain_scores_codex":[0.9994612,0.0001288657,0.0000702986,0.00007757451,0.0002211214,0.00004094901],"domain_scores_gemma":[0.9983125,0.0008147797,0.0002464594,0.0001439338,0.0003995729,0.0000827379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003292373,0.00002866993,0.0004869028,0.02075543,0.0001597711,0.0001343237,0.0002620677,0.0003360381,0.000841887,0.0166555,0.0172519,0.9430546],"study_design_scores_gemma":[0.000004803741,0.00001392769,0.001129428,0.009741308,0.0001283915,0.000378126,0.000243697,0.00005619092,0.0003619079,0.00560237,0.982318,0.00002181121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002144874,0.9935821,0.0006675051,0.0007772752,0.0003565552,0.00001275643,0.0001642147,0.00003448426,0.004190507],"genre_scores_gemma":[0.002779366,0.9942693,0.001026633,0.0003390952,0.0002013267,0.00002171786,0.0002203206,0.00001393075,0.001128417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00825629,"threshold_uncertainty_score":0.02762002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2365112739555449,"score_gpt":0.365030324242318,"score_spread":0.1285190502867731,"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."}}