{"id":"W3134334998","doi":"10.1002/ece3.7364","title":"Seven decades of southern range dynamics of Canada lynx","year":2021,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Trent University; Ontario Ministry of Natural Resources and Forestry","keywords":"Boreal; Range (aeronautics); Taiga; Geography; Ecology; Population; Snowshoe hare; Physical geography; Habitat; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001584151,0.00007168601,0.00009261787,0.0003654768,0.0008014736,0.0004644875,0.0001462044,0.0001267658,0.001506197],"category_scores_gemma":[0.0003867185,0.00005455176,0.0001124693,0.0004066863,0.0003181524,0.0002920047,0.0003469473,0.0001653906,0.0001256034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003280453,"about_ca_system_score_gemma":0.002453287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8059409,"about_ca_topic_score_gemma":0.94354,"domain_scores_codex":[0.9999233,0.000003286194,0.000003420704,0.00001810754,0.00002283931,0.0000288575],"domain_scores_gemma":[0.9997485,0.00001215285,0.00005891539,0.00001012855,0.00008816364,0.00008210164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000681203,0.000009186213,0.9760764,0.00002430522,0.00002991104,0.0001889214,0.00179779,0.0002461834,0.002847791,0.0002771359,0.001010861,0.01742336],"study_design_scores_gemma":[9.910108e-7,0.000007281437,0.9965317,0.00000753147,0.000006642063,0.00006116269,0.0005812783,0.0001067889,0.0001042643,0.00003129282,0.002559023,0.000002182921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959946,0.0003954921,0.00006453698,0.00009682764,0.000004471512,0.000001863488,0.000350058,0.000004794896,0.003087323],"genre_scores_gemma":[0.9986433,0.0001306269,0.00002984525,0.00002051121,0.000002059662,0.00000113902,0.0002412439,0.000001159625,0.0009301616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1940591,"threshold_uncertainty_score":0.3904038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004131918120717214,"score_gpt":0.1755487433128228,"score_spread":0.1714168251921056,"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."}}