{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005371539,0.000043105,0.00008446829,0.00001401838,0.00004602514,0.000001472512,0.00008278614,0.0000723267,0.003428012],"category_scores_gemma":[0.00005684077,0.00004387017,0.00002888517,0.000133875,0.00007012317,0.0000734583,0.00005047118,0.00004905365,0.0002900866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001344228,"about_ca_system_score_gemma":0.000003191079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005134537,"about_ca_topic_score_gemma":0.0003535525,"domain_scores_codex":[0.9995736,0.00004437473,0.0001208163,0.0001237722,0.00004431979,0.00009309019],"domain_scores_gemma":[0.9997975,0.00004226184,0.00006276312,0.00005924611,0.000003293624,0.00003497379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001067983,0.00001630781,0.9935863,0.000002512458,0.000004635461,0.000001131302,0.00009807148,0.0002867024,0.0002361963,0.0002135357,0.004639557,0.0009043764],"study_design_scores_gemma":[0.000113338,0.000075983,0.9973564,6.104156e-7,0.000006220516,9.264587e-7,0.00002069148,0.0005275147,0.0001181075,0.0008142449,0.0009239697,0.00004202416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934391,0.00000591964,0.0000748577,0.004066581,0.00008043117,0.00007575246,0.000002650801,0.00002270616,0.002232011],"genre_scores_gemma":[0.9969057,0.000002447491,0.0004822123,0.002526579,0.00002446966,0.000007193936,0.00001491333,0.000003297198,0.00003318303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003770075,"threshold_uncertainty_score":0.997483,"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."}}