{"id":"W2139983189","doi":"10.1644/10-mamm-a-313.1","title":"Density estimation for small mammals from livetrapping grids: rodents in northern Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; Yukon University; University of Toronto; University of British Columbia","funders":"Arctic Institute of North America","keywords":"Tundra; Estimator; Population density; Taiga; Population; Boreal; Distance sampling; Ecology; Physical geography; Boundary (topology); Arctic; Statistics; Geography; Biology; Mathematics; Transect; Demography","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":[0.0006616212,0.0001522483,0.0001966945,0.001286266,0.000599567,0.0004398335,0.0006830231,0.0001013891,0.0009352165],"category_scores_gemma":[0.003201257,0.0001178605,0.0001546529,0.001477861,0.000316991,0.0003871689,0.0004050788,0.0001784463,0.0001094338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003757184,"about_ca_system_score_gemma":0.002490981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9302745,"about_ca_topic_score_gemma":0.9685958,"domain_scores_codex":[0.9997019,0.00004084068,0.00001848292,0.00006995275,0.0001348328,0.00003400568],"domain_scores_gemma":[0.9990325,0.0001558104,0.0002240311,0.00005610069,0.0004579925,0.00007349814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003943751,0.00001255516,0.9624317,0.00005342565,0.0000347643,0.00003180744,0.0005217462,0.001381738,0.001382833,0.0001765028,0.0003690535,0.03356432],"study_design_scores_gemma":[0.000003879328,0.00001224909,0.995074,0.00001996478,0.00001119198,0.00004976363,0.0003857005,0.003035535,0.0004824101,0.0001041821,0.000813925,0.000007236378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895481,0.0006953637,0.007354541,0.00005692052,0.000004600305,0.00003449593,0.0007644019,0.00005298163,0.00148855],"genre_scores_gemma":[0.9895712,0.0003304966,0.008511084,0.00001795608,0.000003049934,0.00002094308,0.0007648719,0.00001107041,0.0007693337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06972551,"threshold_uncertainty_score":0.1402723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284278563174986,"score_gpt":0.1966210971077783,"score_spread":0.1737783114760284,"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."}}