{"id":"W4385662375","doi":"10.1002/ecs2.4636","title":"Whose line is it anyway? Moose (<i>Alces alces</i>) response to linear features","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Forest Resource Improvement Association of Alberta; fRI Research","keywords":"Woodland caribou; Wildlife; Taiga; Threatened species; Habitat; Woodland; Ecology; Vegetation (pathology); Boreal; Population; Geography; Environmental science; Physical geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001069769,0.00009133386,0.0001248906,0.0001243537,0.0002978937,0.0005186506,0.0001385798,0.0002784039,0.001821379],"category_scores_gemma":[0.0006289,0.00006065181,0.00008136989,0.0001352782,0.0001999155,0.0001819518,0.0002974898,0.0002985923,0.0002332025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645878,"about_ca_system_score_gemma":0.00008659439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079621,"about_ca_topic_score_gemma":0.04692103,"domain_scores_codex":[0.999929,0.00001719561,0.000003058282,0.00001856061,0.000008287468,0.00002382755],"domain_scores_gemma":[0.9995261,0.00006367925,0.0001984434,0.00002547052,0.00006589769,0.0001204592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003710354,0.0001655175,0.9528189,0.00004706559,0.00007001404,0.0003534935,0.001967132,0.0004190268,0.03127237,0.00008549992,0.0007549517,0.01167491],"study_design_scores_gemma":[0.000002406815,0.0001288578,0.9936859,0.000007464365,0.000009701612,0.00008257278,0.004321679,0.0003560626,0.0007308771,0.00005596731,0.0006137277,0.000004845468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994357,0.00001118679,0.00004486587,0.0000274443,0.00000100825,0.000001799993,0.00002668838,0.000002386471,0.0004489826],"genre_scores_gemma":[0.99925,0.00001720539,0.0001234504,0.00006720838,0.000001187246,0.000004667897,0.00005987839,0.000001515649,0.0004747871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079621,"threshold_uncertainty_score":0.02146673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606127694861713,"score_gpt":0.2653621483838167,"score_spread":0.2493008714351996,"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."}}