{"id":"W2111149832","doi":"10.22621/cfn.v127i4.1512","title":"Canada Lynx (<em>Lynx canadensis</em>) detection and behaviour using remote cameras during the breeding season","year":2014,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Geography; Camera trap; Seasonal breeder; Snow; Remote sensing; Habitat; Cartography; Ecology; Biology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000532566,0.0002664375,0.0002454235,0.0008021054,0.0008803222,0.0006548086,0.0003866054,0.0001968773,0.002348806],"category_scores_gemma":[0.0008272112,0.0001984751,0.0001362972,0.0006947076,0.0004813837,0.0003211361,0.0003950295,0.0002318464,0.000393298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572767,"about_ca_system_score_gemma":0.002217274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7743803,"about_ca_topic_score_gemma":0.950612,"domain_scores_codex":[0.9995224,0.00003310222,0.00001712824,0.0001668068,0.0001821094,0.00007845819],"domain_scores_gemma":[0.9991702,0.00007047438,0.0002254655,0.00004625077,0.0003297313,0.0001579133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002876592,0.0001232396,0.9106461,0.0001350145,0.00007474791,0.0002567746,0.001798276,0.0008819505,0.02405221,0.0001439498,0.00225442,0.05934569],"study_design_scores_gemma":[0.000009482186,0.00008306155,0.9965022,0.00002134379,0.00002208469,0.00006409245,0.0004077946,0.0004883892,0.001028255,0.00001995651,0.001342514,0.00001087367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885543,0.0003084188,0.001266851,0.00005389858,0.000009409054,0.0001104525,0.001273392,0.00006516458,0.00835803],"genre_scores_gemma":[0.9887234,0.0002858489,0.004462847,0.0001121344,0.000009717597,0.00008083018,0.001286002,0.00001458161,0.00502471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2256197,"threshold_uncertainty_score":0.4538968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00915180844318476,"score_gpt":0.1942125061306083,"score_spread":0.1850606976874235,"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."}}