{"id":"W7073761713","doi":"","title":"Geographical gradients in diet affect population dynamics of Canada lynx","year":2007,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Fish and Wildlife; Washington State University; Idaho Department of Fish and Game; University of Minnesota; Massachusetts Department of Fish and Game; Smithsonian Institution","keywords":"Predation; Snowshoe hare; Population cycle; Generalist and specialist species; Predator; Herbivore; Population; Taiga","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001381518,0.00007028898,0.0001059157,0.0004102908,0.0003668657,0.000387783,0.0001637778,0.0001689123,0.001098804],"category_scores_gemma":[0.0009825517,0.00009811643,0.00009091989,0.0004324523,0.0003397558,0.0001988029,0.0003383581,0.0001618758,0.00007209225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525824,"about_ca_system_score_gemma":0.0009478963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.538137,"about_ca_topic_score_gemma":0.6944887,"domain_scores_codex":[0.9999216,0.00001458261,0.000004457072,0.0000229624,0.00001511262,0.00002132548],"domain_scores_gemma":[0.9994272,0.00009175055,0.0002009076,0.00002433875,0.0001239918,0.0001318522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001057636,0.00001238003,0.9914454,0.000007127875,0.0000305654,0.00008113484,0.0005926107,0.0003468364,0.003495978,0.00005877901,0.0001717978,0.0036515],"study_design_scores_gemma":[7.927736e-7,0.000004037552,0.9995095,0.000001018718,0.000002975918,0.00001230918,0.0002338731,0.0001446724,0.0000243582,0.000007658013,0.00005726653,0.000001492983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996849,0.00002950222,0.0000122412,0.00001691521,4.14516e-7,7.20482e-7,0.00005046722,8.059794e-7,0.0002041618],"genre_scores_gemma":[0.9997063,0.00003532902,0.00002927574,0.000008676197,6.527976e-7,9.926748e-7,0.00007770416,0.000001062969,0.0001398987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.461863,"threshold_uncertainty_score":0.929166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167319456734791,"score_gpt":0.3242905743292736,"score_spread":0.3026173797619257,"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."}}