{"id":"W4220708556","doi":"10.1007/s42991-021-00223-1","title":"Evaluating likelihood-based photogrammetry for individual recognition of four species of northern ungulates","year":2022,"lang":"en","type":"article","venue":"Mammalian Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yukon University; Yukon Department of Environment; University of Alberta","funders":"","keywords":"Odocoileus; Photogrammetry; Ovis canadensis; Ovis; Biology; Mark and recapture; Wildlife; Abundance (ecology); Animal ecology; Aerial survey; Matching (statistics); Ecology; Geography; Statistics; Cartography; Remote sensing; Demography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002024765,0.0005012951,0.0005562826,0.001399238,0.0004910736,0.0009308858,0.0005968459,0.0007380114,0.0009409456],"category_scores_gemma":[0.007948384,0.0002505221,0.0003698848,0.0007225295,0.0005245674,0.0009065121,0.0009774859,0.0002994105,0.0003549848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008134487,"about_ca_system_score_gemma":0.0005382171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009793448,"about_ca_topic_score_gemma":0.02034301,"domain_scores_codex":[0.999043,0.0004786557,0.00004178622,0.0001762397,0.0001870278,0.00007320343],"domain_scores_gemma":[0.9964896,0.002335358,0.0003698567,0.0001718212,0.0004898119,0.000143515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002502783,0.0005042168,0.6218385,0.0001450084,0.0003870006,0.0002334665,0.0008018592,0.1486846,0.019861,0.0005640962,0.0007926213,0.2036849],"study_design_scores_gemma":[0.00006933789,0.0003389595,0.412325,0.00002187714,0.0001227018,0.0001950903,0.0007334214,0.5810097,0.004300316,0.0005842142,0.0002582702,0.00004115318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9949729,0.00004256474,0.004151946,0.00002760746,0.000003797689,0.00001692124,0.00008822774,0.00005558588,0.0006403368],"genre_scores_gemma":[0.995346,0.00001662378,0.004284532,0.000007593571,0.000002179991,0.00001469619,0.0001949664,0.0000071371,0.0001263348],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009793448,"threshold_uncertainty_score":0.0194729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06462090751891278,"score_gpt":0.2810658437743078,"score_spread":0.216444936255395,"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."}}