{"id":"W3047439942","doi":"10.1016/j.gecco.2020.e01212","title":"Population density of sitatunga in riverine wetland habitats","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs; Safari Club International Foundation","keywords":"Mark and recapture; Habitat; Marsh; Wetland; Population density; Swamp; Geography; Range (aeronautics); Ecology; Population; Camera trap; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000287586,0.000211235,0.0001352652,0.0012119,0.0003689132,0.0003700875,0.0002373898,0.0001723573,0.001458476],"category_scores_gemma":[0.0005778722,0.0002072336,0.0001728425,0.0009314127,0.0003383989,0.0005655069,0.0004324356,0.0001902552,0.0002364501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710365,"about_ca_system_score_gemma":0.000180016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007199436,"about_ca_topic_score_gemma":0.02195242,"domain_scores_codex":[0.9998819,0.00003830941,0.00001297739,0.00003589875,0.00001011631,0.00002075134],"domain_scores_gemma":[0.9997249,0.00006515161,0.0001292763,0.00001593635,0.00003188658,0.00003272706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006756857,0.00003543655,0.9828751,0.00008620296,0.00005252969,0.0002182655,0.002358139,0.0003736082,0.002012132,0.0001385497,0.0002571418,0.01152527],"study_design_scores_gemma":[0.000008208398,0.0001808897,0.9918123,0.00006944544,0.00006135135,0.0006541061,0.003939173,0.001699973,0.0003328337,0.0001209099,0.001100601,0.00002019999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990131,0.00008963253,0.0001391627,0.00001117203,0.000001747855,0.000009890982,0.0002551095,0.000004876883,0.0004753169],"genre_scores_gemma":[0.9988796,0.00009040153,0.0004792834,0.000007257171,0.000001232856,0.00002517315,0.0003036162,0.000001675361,0.0002116801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007199436,"threshold_uncertainty_score":0.01431507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987666023753149,"score_gpt":0.2119837846997978,"score_spread":0.2021071244622663,"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."}}