{"id":"W2573648939","doi":"10.1139/cjfr-2016-0458","title":"Tree squirrel abundance and demography in managed coniferous forests of British Columbia are within the range of natural fluctuations of old-growth stands","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; University of British Columbia","funders":"","keywords":"Abundance (ecology); Ecology; Range (aeronautics); Old-growth forest; Basal area; Biology; Forestry; Temperate rainforest; Population; Geography; Demography; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00121191,0.00005563003,0.0002413621,0.0001181199,0.0004528256,0.00005312264,0.0005278183,0.00006138017,0.00007978141],"category_scores_gemma":[0.0004777236,0.00005596267,0.00005985924,0.0002172431,0.003158184,0.0001887096,0.00008365952,0.0003875327,5.216405e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007303819,"about_ca_system_score_gemma":0.0001455399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2547451,"about_ca_topic_score_gemma":0.9960323,"domain_scores_codex":[0.9988526,0.0001082623,0.0003358621,0.0001101853,0.0003282045,0.0002648561],"domain_scores_gemma":[0.9989902,0.0001426587,0.0003549255,0.0001755273,0.0001900941,0.0001466179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003384502,0.00002264955,0.9968755,0.00002289966,0.00002000307,0.00009899488,0.0005076034,0.00001149272,0.0000852798,0.00009365986,0.001222269,0.001005851],"study_design_scores_gemma":[0.0005523352,0.000268431,0.9965849,0.0001284643,0.00001466748,0.00004010537,0.0009099011,0.00002195906,0.00002606743,0.001387431,0.00001692715,0.00004879429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998322,0.0006273019,0.000003191368,0.0002998575,0.00005586294,0.0001715242,0.0000538586,5.576129e-7,0.0004658132],"genre_scores_gemma":[0.9995372,0.00008514991,0.00009082218,0.000009750071,0.00001030328,0.000004489463,4.459591e-7,0.00000561537,0.0002561955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7412872,"threshold_uncertainty_score":0.9995546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622943634812205,"score_gpt":0.2850554946967695,"score_spread":0.2588260583486475,"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."}}