{"id":"W1986536089","doi":"10.1139/z00-177","title":"Estimating snowshoe hare population density from pellet plots: a further evaluation","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; The Scarborough Hospital; University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Arctic Institute of North America","keywords":"Snowshoe hare; Quadrat; Biology; Population density; Transect; Range (aeronautics); Sampling (signal processing); Population; Pellet; Ecology; Regression; Clearance; Statistics; Habitat; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002712822,0.0004349664,0.0003930874,0.0007197353,0.0002266917,0.0004555082,0.0006455539,0.0002314389,0.000794395],"category_scores_gemma":[0.008912757,0.0002038335,0.0002487426,0.0007352284,0.0001962298,0.0007473108,0.0003102675,0.0001582751,0.0002807249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002976549,"about_ca_system_score_gemma":0.0002481338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793103,"about_ca_topic_score_gemma":0.0460088,"domain_scores_codex":[0.9989715,0.0005588268,0.00005401003,0.0001054334,0.0002635111,0.00004663937],"domain_scores_gemma":[0.995594,0.002280283,0.0005701666,0.000378564,0.001109339,0.00006768471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000119321,0.00003973671,0.9609021,0.00005347179,0.0000854124,0.00006401127,0.0002208586,0.002668902,0.002539898,0.00007035527,0.0001485004,0.03308752],"study_design_scores_gemma":[0.00001097835,0.0003906341,0.9671732,0.00001405452,0.00005524356,0.0002195145,0.0003149219,0.0281261,0.002876368,0.00008133888,0.0007262076,0.00001153578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874455,0.0001867199,0.0115247,0.00003959385,0.000004237921,0.00002780042,0.0002648439,0.00005768975,0.0004490027],"genre_scores_gemma":[0.9903077,0.0001226213,0.008649437,0.00001106393,0.000006611971,0.00002173113,0.0004817032,0.0000127425,0.000386498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793103,"threshold_uncertainty_score":0.03565329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971471021059555,"score_gpt":0.2329685280503378,"score_spread":0.2132538178397422,"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."}}