{"id":"W2593688212","doi":"10.1002/wsb.732","title":"Moose survey app for population monitoring","year":2017,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Directorate for Biological Sciences; Alberta Environment and Parks; Ministry of Environment; University of Alberta; Alberta Conservation Association","keywords":"Ungulate; Aerial survey; Wildlife; Abundance (ecology); Geography; Population; Survey methodology; Wildlife management; Fishery; Ecology; Cartography; Habitat; Biology; Demography; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000603142,0.0009857485,0.0005871049,0.001668362,0.0003590516,0.0005584459,0.0008849684,0.0005751629,0.1099761],"category_scores_gemma":[0.001887814,0.0003826821,0.0003802516,0.0006237708,0.0001118615,0.0008075598,0.001158101,0.0004242154,0.03920758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460287,"about_ca_system_score_gemma":0.000397264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008402709,"about_ca_topic_score_gemma":0.02082505,"domain_scores_codex":[0.9997042,0.00004633669,0.00002045983,0.0000765363,0.0001133581,0.00003906572],"domain_scores_gemma":[0.9983116,0.0004783724,0.0001465947,0.0001851926,0.000627755,0.0002503601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007035913,0.0003236009,0.02049725,0.0006572881,0.00009128018,0.0005928049,0.0005142687,0.0002197958,0.005159975,0.0005974919,0.7630864,0.2075562],"study_design_scores_gemma":[0.0005640489,0.0004697782,0.1820048,0.001000144,0.0002101381,0.001596323,0.0007203935,0.01738555,0.009779069,0.002437886,0.7835128,0.0003192315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.08863255,0.003071617,0.08018734,0.002336903,0.001116891,0.008812185,0.2149138,0.3677826,0.2331461],"genre_scores_gemma":[0.365919,0.002540256,0.1923326,0.006271444,0.001096591,0.01670638,0.1104564,0.01327532,0.2914021],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1099761,"threshold_uncertainty_score":0.3679067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552641743304937,"score_gpt":0.2678501178346936,"score_spread":0.2423237004016442,"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."}}