{"id":"W4389193442","doi":"10.22215/etd/2023-15764","title":"A 34-year Hierarchical Analysis of Small Mammal Populations","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mammal; Predation; Ecology; Abundance (ecology); Nest (protein structural motif); Population; Biology; Geography; Demography","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":[0.001772784,0.0002912934,0.0003208628,0.00117344,0.0005894034,0.00045092,0.0005664048,0.0002787324,0.00313995],"category_scores_gemma":[0.002990474,0.0002146576,0.00107946,0.0009236962,0.0001863068,0.0005686478,0.00065928,0.0007190768,0.0006446271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007640881,"about_ca_system_score_gemma":0.000697331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05538389,"about_ca_topic_score_gemma":0.0673625,"domain_scores_codex":[0.9994017,0.0001851261,0.00002522869,0.0001896495,0.00008449814,0.0001138302],"domain_scores_gemma":[0.9991322,0.0002291245,0.0001600114,0.0001635112,0.0001882772,0.000126862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847204,0.0001366224,0.937531,0.00003224951,0.0004969869,0.0002079523,0.0005790625,0.01657995,0.002618454,0.001150018,0.005627753,0.03485534],"study_design_scores_gemma":[0.000009230294,0.0001101591,0.9257153,0.00001148459,0.0000902016,0.0000593668,0.0002471537,0.07074209,0.0001873321,0.0004557223,0.002353089,0.00001879489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905869,0.00009452479,0.00452278,0.0001510898,0.00001402078,0.00004418313,0.00341949,0.0001019849,0.001064937],"genre_scores_gemma":[0.9890413,0.00005285813,0.003826594,0.00002998859,0.00001129955,0.00006694376,0.005714035,0.00002572378,0.00123125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05538389,"threshold_uncertainty_score":0.110123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579755453564764,"score_gpt":0.2681388374223162,"score_spread":0.2423412828866686,"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."}}