{"id":"W2333490571","doi":"10.1139/z11-048","title":"Effects of ENSO-linked climate and vegetation on population dynamics of sympatric rodent species in semiarid grasslands of Inner Mongolia, China","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Abundance (ecology); Rodent; Ecology; Sympatric speciation; Normalized Difference Vegetation Index; Precipitation; Population; Vegetation (pathology); Biology; Climate change; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001722791,0.00006478326,0.0002412962,0.0001875281,0.00002938834,9.294466e-7,0.00007318639,0.00008693045,0.00004682143],"category_scores_gemma":[0.00005637795,0.00005618521,0.00003263563,0.0001148022,0.0002118989,0.00005781036,0.0000170073,0.0001122449,0.000001008924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183856,"about_ca_system_score_gemma":0.00002012312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008763515,"about_ca_topic_score_gemma":0.1417108,"domain_scores_codex":[0.9993587,0.0000606959,0.00031538,0.00007027043,0.00006142273,0.0001335864],"domain_scores_gemma":[0.9995096,0.00004437554,0.0003209613,0.00004475453,0.00001691435,0.00006336664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004472532,0.00003310274,0.9966632,0.00003048655,0.000009619781,0.00002704717,0.0009811358,0.0001753987,0.001056143,0.0003445662,0.000003931091,0.0006306201],"study_design_scores_gemma":[0.0003216901,0.0005908039,0.9975849,0.0000312749,0.00003992126,0.00001634108,0.0000934662,0.0001179383,0.0007534503,0.0004063434,8.786271e-7,0.00004299474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999211,0.0001155243,0.00001036913,0.00003151226,0.0001075429,0.00006554494,0.000004530156,6.102378e-7,0.0004533882],"genre_scores_gemma":[0.9997883,0.00008509486,0.00009318163,0.000009397095,0.000006598181,8.461672e-7,0.00000170457,0.000003503518,0.00001141747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329473,"threshold_uncertainty_score":0.9978372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007830047138350052,"score_gpt":0.198920587718275,"score_spread":0.1910905405799249,"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."}}