{"id":"W2127709693","doi":"10.1007/s004420100783","title":"Contributions of forage competition, harvest, and climate fluctuation to changes in population growth of northern white-tailed deer","year":2002,"lang":"en","type":"article","venue":"Oecologia","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; Government of Nunavut","funders":"","keywords":"Odocoileus; Biology; Density dependence; Population density; Snow; Predation; Roe deer; Population; Competition (biology); Snowshoe hare; Forage; Ecology; Ungulate; Herbivore; Animal science; Habitat; Demography; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002084032,0.0000563806,0.0001173,0.00005369585,0.0000551932,0.000003867645,0.0000510528,0.00007189838,0.001024237],"category_scores_gemma":[0.000151124,0.00005587364,0.00001198252,0.0001865411,0.00006140011,0.0001186578,0.00004304129,0.00004067318,0.00004356711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970461,"about_ca_system_score_gemma":0.000001975127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017984,"about_ca_topic_score_gemma":0.02060175,"domain_scores_codex":[0.9994482,0.00005640169,0.0001821885,0.0001229943,0.00007108889,0.0001191593],"domain_scores_gemma":[0.9997081,0.0000627276,0.0001076814,0.00007007895,0.00002598262,0.00002544256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001120167,0.00005752342,0.9971254,0.000007156374,0.000002318895,4.515738e-7,0.0001556979,0.0002229291,0.001390631,0.0006067106,0.0001480846,0.0002719299],"study_design_scores_gemma":[0.0002775709,0.0001109777,0.9977304,0.000007705241,0.000007200238,7.862593e-7,0.00002414416,0.00103073,0.0003259942,0.0004095032,0.00002090439,0.00005406917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997668,0.000006336607,0.0001709476,0.00135072,0.00003637703,0.0002440017,0.00002440457,0.00001059638,0.0004886534],"genre_scores_gemma":[0.9993705,0.0000124259,0.0002737326,0.0002073485,0.000006648223,0.0000314498,0.00003941823,0.000003084605,0.00005534797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02049995,"threshold_uncertainty_score":0.999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008780474816730955,"score_gpt":0.2121105833019596,"score_spread":0.2033301084852286,"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."}}