{"id":"W3137860361","doi":"10.1186/s40462-021-00250-0","title":"Prey and habitat distribution are not enough to explain predator habitat selection: addressing intraspecific interactions, behavioural state and time","year":2021,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Canada Research Chairs; ArcticNet; Parks Canada; Polar Knowledge Canada","keywords":"Ecology; Animal ecology; Predation; Habitat; Biology; Intraspecific competition; Predator; Vulpes; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001851951,0.0001284211,0.000153166,0.00002718468,0.0003266075,0.00005746923,0.00005508057,0.0000722996,0.001736777],"category_scores_gemma":[0.0000873304,0.0001413261,0.00001944573,0.0001348367,0.0001055639,0.0003104472,0.0001898169,0.0001395849,0.0001943575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897957,"about_ca_system_score_gemma":0.00001923338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002481436,"about_ca_topic_score_gemma":0.005786079,"domain_scores_codex":[0.9988655,0.0001455964,0.000234927,0.0003981722,0.00009632004,0.0002594228],"domain_scores_gemma":[0.9995559,0.0001103857,0.00009898694,0.0001084619,0.00002552216,0.0001006854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005189179,0.0001267072,0.9804092,0.000005512855,0.00001689668,0.00001600447,0.0002592798,0.0000908224,0.005267394,0.00006051896,0.01233227,0.001363481],"study_design_scores_gemma":[0.0003341771,0.000171175,0.9925738,0.00001165676,0.00001980314,0.00002500086,0.0001939391,0.0005097637,0.003827679,0.0002719543,0.001919487,0.000141575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918504,0.00001780785,0.000348558,0.007054064,0.0002345027,0.0002762415,0.00005757669,0.00002926507,0.0001316033],"genre_scores_gemma":[0.9949055,0.00001594329,0.0005963359,0.002304557,0.00003211106,0.0001073516,0.0001160059,0.000008739126,0.001913458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216457,"threshold_uncertainty_score":0.9991758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800610704705977,"score_gpt":0.2341047341481617,"score_spread":0.2160986271011019,"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."}}