{"id":"W4383501186","doi":"10.1002/jwmg.22461","title":"Effects of vegetation and topography on snowshoe hare relative abundance at the southern range periphery","year":2023,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Bureau of Land Management","keywords":"Snowshoe hare; Habitat; Vegetation (pathology); Abundance (ecology); Ecology; Range (aeronautics); Geography; Snow; Physical geography; Relative species abundance; Shrub; Threatened species; Vegetation type; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006464851,0.0002422592,0.0003300489,0.0003565571,0.0003755089,0.0008851055,0.0002276423,0.0002488699,0.001948212],"category_scores_gemma":[0.001628611,0.0001723653,0.000539017,0.0002512658,0.0003560538,0.0002905672,0.0003952704,0.0002077218,0.0001665097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820368,"about_ca_system_score_gemma":0.0004018586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04660075,"about_ca_topic_score_gemma":0.08908533,"domain_scores_codex":[0.9997519,0.000102846,0.00001008439,0.00005834515,0.00002294918,0.00005385454],"domain_scores_gemma":[0.9989348,0.0005523587,0.0001498138,0.00007785589,0.00008107351,0.0002041117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001462821,0.00003419431,0.9940638,0.000006947228,0.0001047978,0.0001006221,0.0001062441,0.002849557,0.0009858828,0.00004170547,0.0001303069,0.001429661],"study_design_scores_gemma":[0.00001217603,0.00009689138,0.9855266,0.000006621122,0.00005073752,0.00006581332,0.0004326965,0.01347419,0.0001286612,0.0000617785,0.0001390178,0.000004843608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997742,0.00002405937,0.00006209608,0.00001241382,0.000001031977,9.926589e-7,0.0000396784,0.000004905012,0.00008060377],"genre_scores_gemma":[0.9998073,0.00001088723,0.00003656722,0.000003717296,0.000001674884,0.00000104664,0.00006887614,0.000001600316,0.00006831936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04660075,"threshold_uncertainty_score":0.092659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813076910525706,"score_gpt":0.2066193201296788,"score_spread":0.1998062432191531,"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."}}