{"id":"W2157614216","doi":"10.1111/j.1600-0587.2012.07737.x","title":"Habitat quality and population density drive occupancy dynamics of snowshoe hare in variegated landscapes","year":2012,"lang":"en","type":"article","venue":"Ecography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"U.S. Forest Service; Directorate for Biological Sciences","keywords":"Ecology; Extinction (optical mineralogy); Occupancy; Population density; Habitat; Population; Local extinction; Geography; Density dependence; Colonization; Population size; Metapopulation; Biology; Biological dispersal; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004069451,0.00007066049,0.0001969727,0.0004445536,0.0002175376,0.0005077167,0.0001753815,0.0001785935,0.001206211],"category_scores_gemma":[0.001262898,0.0001813396,0.0002097663,0.0002225803,0.0004317725,0.0002985137,0.0003919456,0.0002288128,0.0001286589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417794,"about_ca_system_score_gemma":0.000120442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005202,"about_ca_topic_score_gemma":0.02369327,"domain_scores_codex":[0.9998517,0.00005169176,0.000008058937,0.00003716095,0.00001359385,0.00003767034],"domain_scores_gemma":[0.9989614,0.0003623229,0.0003123736,0.00008082601,0.00006844389,0.0002145864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005488026,0.00002099247,0.9971596,0.000003028974,0.00002410623,0.00003344426,0.0002198288,0.0003099515,0.001161976,0.00003746394,0.00002993022,0.0009447383],"study_design_scores_gemma":[9.429346e-7,0.00001665055,0.9990541,9.47786e-7,0.000003796611,0.00002165524,0.0001670731,0.0006588118,0.00002441462,0.00002367698,0.00002643054,0.000001440933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998814,0.000009866073,0.00002792529,0.000005110554,2.807647e-7,5.522895e-7,0.00001092872,8.595175e-7,0.00006317061],"genre_scores_gemma":[0.9998564,0.000008577899,0.00002831219,0.000003896382,8.428606e-7,0.000001143867,0.00002784622,7.729789e-7,0.00007225476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005202,"threshold_uncertainty_score":0.01998705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107561910289259,"score_gpt":0.2417759966673178,"score_spread":0.2307003775644252,"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."}}