{"id":"W2754685685","doi":"10.1111/ddi.12636","title":"Trends in mean growth and stability in temperate vertebrate populations","year":2017,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Biology; Temperate climate; Population; Biodiversity; Habitat; Taxon; Habitat destruction; Range (aeronautics); Population decline; Population size; Population growth; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001557226,0.000149739,0.0002489589,0.001263715,0.0001914682,0.000580259,0.0003260461,0.0002271339,0.001020607],"category_scores_gemma":[0.002772369,0.0001430531,0.0005073226,0.00118868,0.0003297171,0.0005748886,0.000343384,0.0003157661,0.0001025374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066231,"about_ca_system_score_gemma":0.0001626337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004599846,"about_ca_topic_score_gemma":0.005307408,"domain_scores_codex":[0.9994988,0.000107366,0.00004857223,0.0002399603,0.00006188793,0.00004339651],"domain_scores_gemma":[0.9980848,0.0004940901,0.0008223933,0.0001989256,0.0003017843,0.00009813942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005220027,0.000005241116,0.9933516,0.00003271848,0.0003254487,0.00001350701,0.0001873987,0.0005873741,0.0003653142,0.0001452036,0.0001724602,0.004761575],"study_design_scores_gemma":[0.000001312494,0.00002223225,0.998136,0.000009172516,0.00003857099,0.00002618879,0.0001004505,0.001267832,0.00007752243,0.0001237211,0.0001934431,0.000003394508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997313,0.0009313494,0.0006307372,0.00007901742,0.000007474333,0.000001960146,0.0005563415,0.00001582967,0.0004642821],"genre_scores_gemma":[0.9993449,0.00009985616,0.0001605945,0.00000779976,0.000008538686,0.000002704973,0.0003190382,0.000002398511,0.00005409652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004599846,"threshold_uncertainty_score":0.009146154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369680011979332,"score_gpt":0.2396134605342677,"score_spread":0.2026454593363345,"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."}}