{"id":"W4317914309","doi":"10.1002/ecs2.4399","title":"Continental synchrony and local responses: Climatic effects on spatiotemporal patterns of calving in a social ungulate","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health; Environment and Climate Change Canada; Government of Nunavut; Government of Northwest Territories","funders":"Israel Institute for Biological Research; National Socio-Environmental Synthesis Center; Alaska Department of Fish and Game; National Park Service; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Ice calving; Ungulate; Geography; Population; Arctic; Snow; Ecology; Environmental science; Physical geography; Fishery; Habitat; Biology; Demography; Meteorology; Lactation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322489,0.00007552223,0.000127986,0.00001873606,0.00007022316,0.000006017691,0.00005744302,0.00007200006,0.0005347359],"category_scores_gemma":[0.00004926567,0.00007569583,0.00002300883,0.0001425762,0.00006824489,0.00007820486,0.00007272017,0.00008607792,0.0002805599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007268532,"about_ca_system_score_gemma":0.000008215387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003284628,"about_ca_topic_score_gemma":0.001441999,"domain_scores_codex":[0.9993145,0.0001091877,0.0001617398,0.0001587571,0.00009828457,0.000157457],"domain_scores_gemma":[0.9996478,0.0001951548,0.00006319445,0.00006676892,0.000001992704,0.00002512132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006966066,0.00002886234,0.9900558,0.00004306339,0.000005061472,0.00002922817,0.0004573904,0.0001321765,0.0002401595,0.00004786366,0.002492483,0.006398273],"study_design_scores_gemma":[0.00050933,0.00009632861,0.9934685,0.00005229358,0.0000046004,0.000001350882,0.00018568,0.005120877,0.0002058471,0.0002263659,0.00005496069,0.00007381591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984392,0.00000593619,0.0000609229,0.0004674967,0.00006714294,0.0001597058,0.000005127845,0.0000246669,0.0007697904],"genre_scores_gemma":[0.999357,0.000003545359,0.00004135624,0.0001932809,0.0000221212,0.00001477867,0.000007998596,0.000007440074,0.0003524792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006324457,"threshold_uncertainty_score":0.5854983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007812755632201945,"score_gpt":0.2322938414314883,"score_spread":0.2244810857992863,"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."}}