{"id":"W4312085161","doi":"10.1016/j.biocon.2022.109841","title":"Smaller human populations are neither a necessary nor sufficient condition for biodiversity conservation","year":2022,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Biodiversity; Natural resource economics; Population; Agricultural biodiversity; Ecosystem services; Consumption (sociology); Measurement of biodiversity; Business; Sustainability; Environmental resource management; Economics; Ecosystem; Ecology; Biodiversity conservation; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006646965,0.0001434279,0.0001846255,0.0001006657,0.001638346,0.00004332471,0.000213075,0.0001340867,0.001064578],"category_scores_gemma":[0.0005176301,0.0001327873,0.0001196985,0.0003965516,0.0001430268,0.0001246984,0.0001660035,0.0002093823,0.00001819309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971286,"about_ca_system_score_gemma":0.00006417575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248919,"about_ca_topic_score_gemma":0.001106748,"domain_scores_codex":[0.9982437,0.0005161364,0.0003002485,0.0003847887,0.0002452154,0.0003098791],"domain_scores_gemma":[0.9989524,0.0002298625,0.0001674752,0.0002163407,0.0003613492,0.00007250014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006321116,0.0006733202,0.5926102,0.00004221068,0.00004594512,0.000009035291,0.0002052594,0.01243976,0.00318726,0.3678519,0.02171676,0.0005862312],"study_design_scores_gemma":[0.001172566,0.0005662315,0.7335112,0.000004835736,0.00001988766,0.000003690457,0.002574214,0.005277616,0.0001222147,0.02800512,0.2284527,0.0002897012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855598,0.00002804784,0.0008392329,0.01167896,0.0001571559,0.000597238,0.0002662312,0.0001445442,0.0007287373],"genre_scores_gemma":[0.993076,0.000001944187,0.0001842964,0.00289989,0.00004523691,0.0003334647,0.002787182,0.000006474391,0.0006655413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3398468,"threshold_uncertainty_score":0.9998486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363940731432466,"score_gpt":0.3244862043690152,"score_spread":0.1880921312257686,"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."}}