{"id":"W6885097856","doi":"10.13140/rg.2.2.24650.26560","title":"Prioritizing Areas for Canada Warbler Conservation and Management in the Atlantic Northern Forest of Canada","year":2018,"lang":"en","type":"article","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atlantic forest; Wildlife management; Wildlife conservation; Forest management; Deforestation (computer science)","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":[0.0005786595,0.0003166545,0.0002696807,0.002757907,0.003137118,0.00216266,0.0008916596,0.0003999174,0.003373222],"category_scores_gemma":[0.001768043,0.0001924415,0.000221267,0.002125841,0.0006204303,0.0004443717,0.0009551975,0.0004923851,0.0001478991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02310881,"about_ca_system_score_gemma":0.05119072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989098,"about_ca_topic_score_gemma":0.9986148,"domain_scores_codex":[0.9992718,0.00008519789,0.00001848156,0.00004600129,0.0001862478,0.0003923093],"domain_scores_gemma":[0.9987198,0.000109282,0.00009339413,0.00001341996,0.000531887,0.0005322612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003722698,0.000170866,0.7057226,0.0004446931,0.0002054987,0.0007320311,0.003828916,0.009934019,0.002784141,0.006922438,0.05039465,0.2184878],"study_design_scores_gemma":[0.00004443921,0.00007489422,0.9193822,0.0004343416,0.0002010211,0.0002769663,0.03020254,0.01243513,0.0008862492,0.001975947,0.03403317,0.00005310947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637906,0.00347359,0.001590067,0.004156868,0.00008735466,0.0002194957,0.002158529,0.00008015594,0.02444329],"genre_scores_gemma":[0.9882505,0.001383864,0.003677765,0.00032109,0.00001512326,0.00004252293,0.0007156786,0.00001829743,0.005575279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02310881,"threshold_uncertainty_score":0.1676669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770213124364008,"score_gpt":0.1877374967118863,"score_spread":0.1800353654682463,"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."}}