{"id":"W2796165361","doi":"10.1038/s41559-018-0512-8","title":"Author Correction: Intergenerational equity can help to prevent climate change and extinction","year":2018,"lang":"en","type":"erratum","venue":"Nature Ecology & Evolution","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Raincoast Conservation Foundation; Tula Foundation; University of Victoria; Simon Fraser University","funders":"","keywords":"Duty; Population; Orange (colour); Gender equity; Equity (law); Geography; Climate change; Human rights; Political science; Development economics; Demography; Ecology; Economics; Sociology; Biology; Law; Economic growth; Food science","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":[0.004753176,0.001912731,0.001565656,0.002811527,0.003879564,0.004308367,0.003253847,0.006057278,0.06202712],"category_scores_gemma":[0.07847735,0.0008720368,0.001165149,0.002160714,0.002410528,0.003231233,0.002336833,0.0119993,0.03126294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004931184,"about_ca_system_score_gemma":0.006656585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619659,"about_ca_topic_score_gemma":0.03271666,"domain_scores_codex":[0.9957708,0.0006728843,0.0006765166,0.0006954251,0.001860907,0.0003235321],"domain_scores_gemma":[0.960941,0.009555436,0.001583244,0.002628906,0.02425906,0.001032416],"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":[0.000008610285,0.000001909934,0.00004236018,0.0000375222,0.000003846666,0.00006775209,0.00003123682,0.00002756529,0.00001080895,0.001285459,0.9964072,0.002075663],"study_design_scores_gemma":[0.00002983859,0.000009235846,0.0006076806,0.0002772498,0.00002789505,0.0002136834,0.0001670226,0.000308674,0.0002186246,0.00313402,0.9949739,0.00003227934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000137848,0.0005765088,0.0005452025,0.05172334,0.9405063,0.00001417749,0.00097848,0.0002121202,0.005305955],"genre_scores_gemma":[0.02473411,0.00593215,0.00631616,0.09961116,0.3770957,0.0002981597,0.002949773,0.00228786,0.4807749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06202712,"threshold_uncertainty_score":0.2075014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417376549918328,"score_gpt":0.3589761843310112,"score_spread":0.324802418831828,"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."}}