{"id":"W1568655640","doi":"","title":"USING A DOUBLE-COUNT AERIAL SURVEY TO ESTIMATE MOOSE ABUNDANCE IN MAINE","year":2013,"lang":"en","type":"article","venue":"Alces : A Journal Devoted to the Biology and Management of Moose","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerial survey; Wildlife; Abundance (ecology); Geography; Population; Population density; Wildlife management; Predation; Fishery; Distance sampling; Survey methodology; Ecology; Physical geography; Forestry; Demography; Biology; Cartography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000440533,0.00026021,0.000154579,0.001109827,0.0002194705,0.0002895021,0.0002353292,0.0002191662,0.0004494142],"category_scores_gemma":[0.001374244,0.0001655318,0.0001203207,0.0003582691,0.0002394404,0.0003371807,0.0003968851,0.0001295622,0.0001681781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365923,"about_ca_system_score_gemma":0.0001744723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03134042,"about_ca_topic_score_gemma":0.1124826,"domain_scores_codex":[0.9997911,0.00005577457,0.00001940959,0.00005266297,0.00005344986,0.00002769454],"domain_scores_gemma":[0.9992773,0.0001884113,0.0001921636,0.0000507129,0.0002215076,0.00006994438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005005497,0.00003710356,0.9851688,0.00001428186,0.00003140289,0.00008623028,0.0002749542,0.0003309288,0.004363656,0.00001562447,0.0001083408,0.009518597],"study_design_scores_gemma":[0.000003107082,0.0001187338,0.9978631,0.000005645369,0.000008953639,0.0000852103,0.0001352469,0.001165382,0.0004123916,0.00000826232,0.0001916744,0.000002383896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990939,0.00005689223,0.0004200351,0.000006287311,0.000001111276,0.00001780893,0.00009191775,0.000007752104,0.0003044553],"genre_scores_gemma":[0.9965034,0.0001308827,0.002372915,0.00002186594,0.000004436484,0.00004173493,0.0004719759,0.000002597966,0.0004503962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03134042,"threshold_uncertainty_score":0.062316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909248777951224,"score_gpt":0.2973235464382259,"score_spread":0.2682310586587137,"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."}}