{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001930822,0.0004231003,0.00038734,0.00009828039,0.0004244327,0.00005164647,0.0001903874,0.0008495384,0.0162945],"category_scores_gemma":[0.00008552042,0.0004639652,0.000129857,0.00008877365,0.002061957,0.0002407779,0.0002411101,0.0018224,0.001590473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357392,"about_ca_system_score_gemma":0.00002060359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007823455,"about_ca_topic_score_gemma":0.0003670447,"domain_scores_codex":[0.9972814,0.0005685851,0.0003198691,0.0009952856,0.0002445106,0.0005903499],"domain_scores_gemma":[0.9985426,0.0006462647,0.0003471299,0.0003808271,0.000003001394,0.00008014809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000254375,0.0000391403,0.5479063,0.000003215029,0.00008626492,0.0006366544,0.00004495292,0.00002794482,0.001133592,0.000001496946,0.4495625,0.0005325315],"study_design_scores_gemma":[0.0004406258,0.0001779908,0.8855695,0.000009469033,0.0001467702,0.0001313108,0.00003674101,0.00003805458,0.00007886945,0.00001692119,0.1129603,0.0003934609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6826369,0.00001065035,0.00002229943,0.3161796,0.0005943581,0.0002632228,0.00005950204,0.00003716539,0.0001963483],"genre_scores_gemma":[0.3467866,0.0001195963,0.0003530851,0.6510457,0.0005851286,0.00004734069,0.0002758738,0.0000475198,0.0007391108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3376632,"threshold_uncertainty_score":0.9997812,"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."}}