{"id":"W2999518753","doi":"10.1002/ecy.2969","title":"Demography of snowshoe hare population cycles","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; The Scarborough Hospital; University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowshoe hare; Tundra; Population cycle; Population; Ecology; Biology; Population decline; Population density; Boreal; Vital rates; Abundance (ecology); Population growth; Population size; Habitat; Ecosystem; Geography; Demography; Predation","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":[0.0001911353,0.00007153325,0.000109876,0.0008347387,0.0002218284,0.0003136036,0.0001384405,0.0001264356,0.0008369863],"category_scores_gemma":[0.0009567345,0.00008510172,0.00009919623,0.0006712292,0.0002613747,0.0002483766,0.0002248694,0.0001260636,0.00008355585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942458,"about_ca_system_score_gemma":0.0002783843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04519659,"about_ca_topic_score_gemma":0.1036518,"domain_scores_codex":[0.9999269,0.00001915505,0.000005547173,0.00002299851,0.000009433539,0.00001584575],"domain_scores_gemma":[0.9996126,0.00008835289,0.0001088748,0.0000386776,0.00008444612,0.00006694307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004476755,0.00000674561,0.9874835,0.00001085257,0.00003361201,0.00008554109,0.0009533844,0.001961738,0.001308798,0.0003425983,0.0003407862,0.007427628],"study_design_scores_gemma":[0.000001739511,0.00001063967,0.9962962,0.000004933323,0.000005463509,0.00008755874,0.0005993003,0.002024517,0.00007459536,0.000172094,0.000717474,0.000005408206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989065,0.00004749003,0.0002595833,0.00002121113,9.128957e-7,0.000002901503,0.000360611,0.000007353201,0.0003934373],"genre_scores_gemma":[0.9994177,0.00003370858,0.0001029731,0.000003834002,8.691937e-7,0.000002601844,0.0003471313,0.000001511763,0.00008965729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04519659,"threshold_uncertainty_score":0.08986706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231807533589958,"score_gpt":0.2134311768007026,"score_spread":0.201113101464803,"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."}}