{"id":"W3197098208","doi":"10.1111/ele.13872","title":"Environmental and anthropogenic constraints on animal space use drive extinction risk worldwide","year":2021,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Extinction (optical mineralogy); Habitat; Biodiversity; Climate change; Global warming; Ecology; Environmental science; Habitat destruction; Productivity; Environmental resource management; Biology; Economics","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":[0.001683618,0.0001397225,0.0002545357,0.0003695169,0.000549126,0.001036384,0.0003272403,0.00265429,0.006317952],"category_scores_gemma":[0.009642009,0.0001301986,0.0002164745,0.0005952337,0.0009137914,0.0009540753,0.0005595253,0.002386844,0.00278186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006039505,"about_ca_system_score_gemma":0.0002669394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323072,"about_ca_topic_score_gemma":0.004774092,"domain_scores_codex":[0.9991541,0.0003961833,0.00004734555,0.0001491244,0.0001887947,0.00006448513],"domain_scores_gemma":[0.9915249,0.00554336,0.0009502352,0.0004745907,0.001061096,0.0004458422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002918683,0.00008339207,0.2809847,0.0002555558,0.0001846421,0.001899773,0.0007505584,0.001116936,0.001272233,0.007868759,0.4332469,0.2720448],"study_design_scores_gemma":[0.00009548442,0.0002428559,0.3989181,0.001052031,0.0002077936,0.01062794,0.003351422,0.009579102,0.001498478,0.06881871,0.5054724,0.0001356898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1203923,0.01663865,0.00309121,0.8127913,0.005640171,0.00001791554,0.0006376161,0.0001479803,0.04064294],"genre_scores_gemma":[0.6723108,0.01477562,0.002184698,0.2676196,0.02539268,0.0000635512,0.0004890471,0.00008860041,0.01707535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006317952,"threshold_uncertainty_score":0.02113563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008498317543963076,"score_gpt":0.1959092110046094,"score_spread":0.1874108934606463,"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."}}