{"id":"W4376641120","doi":"10.1111/brv.12974","title":"More losers than winners: investigating Anthropocene defaunation through the diversity of population trends","year":2023,"lang":"en","type":"article","venue":"Biological reviews/Biological reviews of the Cambridge Philosophical Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sistema Nacional de Investigadores; Queen's University; Natural Environment Research Council; Agencia Nacional de Investigación e Innovación; Queen's University Belfast; Directorate for Biological Sciences","keywords":"Anthropocene; Defaunation; Diversity (politics); Geography; Population; Economic geography; Environmental ethics; Sociology; Demography; Anthropology; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002291814,0.000352841,0.0008834683,0.00001920729,0.0008691297,0.00001582702,0.00126921,0.0002989011,0.0002523091],"category_scores_gemma":[0.001993003,0.0001550653,0.001294579,0.001595983,0.00215791,0.0001153814,0.003017176,0.0003763301,0.00008551337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600138,"about_ca_system_score_gemma":0.000005537361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003830104,"about_ca_topic_score_gemma":0.000006407192,"domain_scores_codex":[0.9963786,0.001056425,0.001018694,0.0006203971,0.0005169719,0.0004089141],"domain_scores_gemma":[0.9979007,0.0003759254,0.0009308173,0.0006410285,0.00003825056,0.0001133049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002217253,0.0001635574,0.9672855,0.0001624297,0.00005336832,6.095577e-7,0.0003252769,0.0001259309,0.0008943411,0.001068136,0.007701993,0.02219668],"study_design_scores_gemma":[0.000214415,0.0001450348,0.9393895,0.00015278,0.00009205068,9.401244e-7,0.000126691,0.0002849749,0.00004916741,0.003816709,0.05548221,0.0002455356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715412,0.003787569,0.00005729501,0.02187628,0.0002036853,0.001327023,0.00005291622,0.00008049412,0.001073491],"genre_scores_gemma":[0.9601746,0.03632294,0.0005195347,0.002594143,0.0001410867,0.00003578193,0.0001254431,0.000007522533,0.00007895301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04778021,"threshold_uncertainty_score":0.795091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524840449413773,"score_gpt":0.3078438493318006,"score_spread":0.1553598043904234,"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."}}