{"id":"W1979866896","doi":"10.1890/07-0147.1","title":"GEOGRAPHICGRADIENTS IN DIET AFFECT POPULATION DYNAMICS OF CANADA LYNX","year":2007,"lang":"en","type":"article","venue":"Ecology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"California Department of Fish and Wildlife; Smithsonian Institution","keywords":"Predation; Generalist and specialist species; Ecology; Snowshoe hare; Biology; Predator; Population cycle; Range (aeronautics); Population; Herbivore; Taiga; Habitat; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001480468,0.00008542906,0.0001072571,0.0003910935,0.0003134894,0.0003564678,0.0001740758,0.0001523628,0.0008676308],"category_scores_gemma":[0.0007367887,0.0001172735,0.0001002169,0.0003179883,0.0003099579,0.000178364,0.0003160814,0.0001385224,0.00005611455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335557,"about_ca_system_score_gemma":0.0007409786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3755567,"about_ca_topic_score_gemma":0.6020079,"domain_scores_codex":[0.9999216,0.00001278873,0.000004120058,0.00002692289,0.00001387395,0.00002069725],"domain_scores_gemma":[0.9995793,0.00005845581,0.0001533787,0.00001831567,0.00009130586,0.00009932125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009045192,0.00001371715,0.9869875,0.000008455634,0.00003573977,0.00006305764,0.0003542082,0.000249572,0.008387933,0.00004651176,0.0001088633,0.003654067],"study_design_scores_gemma":[5.815892e-7,0.000004079046,0.9996517,6.341247e-7,0.00000291591,0.00001092932,0.00009603622,0.0001392657,0.00004591943,0.000005960343,0.00004087892,0.00000103002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997705,0.00003436724,0.00001848639,0.00001016757,3.190424e-7,5.82079e-7,0.00003905003,9.87886e-7,0.0001255182],"genre_scores_gemma":[0.9996725,0.00004033144,0.00004468164,0.00001036209,6.565402e-7,0.000001316294,0.00007660384,0.000001262114,0.0001521742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244433,"threshold_uncertainty_score":0.7467414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004715116646429243,"score_gpt":0.2227133608773769,"score_spread":0.2179982442309477,"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."}}