{"id":"W4289711274","doi":"10.1002/wsb.1332","title":"Relative efficiency of two models of snap traps for sampling boreal small mammals","year":2022,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Yukon Department of Environment; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microtus; Peromyscus; Biology; Abundance (ecology); Boreal; Sampling (signal processing); Ecology; Trap (plumbing); Relative species abundance; Zoology; Environmental science; Physics","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":[0.01132736,0.001011193,0.001200337,0.002452551,0.0004799311,0.001187756,0.001818855,0.001021284,0.001094116],"category_scores_gemma":[0.01519018,0.000812446,0.001247533,0.0006496474,0.000436065,0.001805593,0.001689538,0.0003836502,0.0004247084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000567276,"about_ca_system_score_gemma":0.0003110325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819754,"about_ca_topic_score_gemma":0.00570187,"domain_scores_codex":[0.9884055,0.005533823,0.0008789382,0.00197915,0.002789407,0.0004131621],"domain_scores_gemma":[0.9848623,0.007052724,0.003516304,0.001541343,0.002617173,0.0004101706],"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":[0.005814457,0.0006449076,0.8349006,0.001222659,0.002036339,0.0001618784,0.0006558226,0.01191357,0.04267244,0.0004408273,0.0008088298,0.09872766],"study_design_scores_gemma":[0.0002188507,0.01623142,0.8252583,0.0004686718,0.001957458,0.003019086,0.001227375,0.09045869,0.05694186,0.0004851671,0.003417458,0.0003157512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849564,0.001882235,0.01040098,0.00007829664,0.00004732515,0.000219961,0.0007158438,0.0001105063,0.001588349],"genre_scores_gemma":[0.985028,0.0004631397,0.01259372,0.00007237114,0.000026306,0.0001990058,0.0009346196,0.00003071535,0.0006520451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01132736,"threshold_uncertainty_score":0.05990559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962505950393078,"score_gpt":0.2456102157170053,"score_spread":0.2159851562130745,"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."}}