{"id":"W1846927634","doi":"10.22621/cfn.v119i3.142","title":"Reconstructing Changes in Abundance of White-tailed Deer, &lt;em&gt;Odocoileus virginianus&lt;/em&gt;, Moose, &lt;em&gt;Alces alces&lt;/em&gt;, and Beaver, &lt;em&gt;Castor canadensis&lt;/em&gt;, in Algonquin Park, Ontario, 1860-2004","year":2005,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algonquin College","funders":"","keywords":"Odocoileus; Beaver; Castor canadensis; Population; Predation; Geography; Juniper; Ecology; Biology; Context (archaeology); Abundance (ecology); Forestry; Archaeology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001858986,0.0001969103,0.0001331386,0.001944051,0.0005334507,0.0006150253,0.0004034637,0.0001568117,0.0007364633],"category_scores_gemma":[0.0004051055,0.0001330506,0.0001247636,0.002357006,0.0004260405,0.000309325,0.0003326217,0.0001541486,0.0001668307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003046828,"about_ca_system_score_gemma":0.002043484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7242817,"about_ca_topic_score_gemma":0.9517714,"domain_scores_codex":[0.9998707,0.000009670935,0.000008892585,0.00003412376,0.0000437645,0.00003285395],"domain_scores_gemma":[0.9995916,0.00002495247,0.0001584694,0.000008703385,0.0001630554,0.00005315791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004723025,0.00000945287,0.967988,0.0002531357,0.00003456101,0.0003840727,0.002455065,0.0001763324,0.0008306687,0.00009550467,0.001149188,0.02657685],"study_design_scores_gemma":[6.618064e-7,0.000009330249,0.9953074,0.00003194064,0.00001265252,0.0001008319,0.00159644,0.00006652976,0.00004629526,0.00002061501,0.002804605,0.000002694517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805812,0.0118922,0.0003507897,0.0001204662,0.00001838367,0.00002646853,0.003051566,0.00001283819,0.003946192],"genre_scores_gemma":[0.9889202,0.005152396,0.000542303,0.00003737607,0.000008529491,0.0000110438,0.002847185,0.000004734473,0.002476285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2757183,"threshold_uncertainty_score":0.554684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321051804241515,"score_gpt":0.2076514834337603,"score_spread":0.1944409653913451,"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."}}