{"id":"W4408409647","doi":"10.1111/1365-2664.70031","title":"Movement‐integrated habitat selection reveals wolves balance ease of travel with human avoidance in a risk–reward trade‐off","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro; Université de Saint-Boniface; Ducks Unlimited Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Newfoundland and Labrador","keywords":"Balance (ability); Selection (genetic algorithm); Trade-off; Movement (music); Habitat; Ecology; Psychology; Business; Environmental resource management; Biology; Computer science; Economics; Neuroscience; Artificial intelligence","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":[0.0004644261,0.0002025166,0.0003315737,0.0003439928,0.0001305081,0.0006044207,0.0002404947,0.000265825,0.002107149],"category_scores_gemma":[0.001174929,0.0001740741,0.0004282384,0.0002315089,0.0002855835,0.0002476908,0.000382697,0.0002662899,0.0001387987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978787,"about_ca_system_score_gemma":0.00009833036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252423,"about_ca_topic_score_gemma":0.004059804,"domain_scores_codex":[0.999782,0.00009477053,0.00001292698,0.00006566284,0.00001758631,0.00002705688],"domain_scores_gemma":[0.9992808,0.0002877331,0.0002333089,0.0000696443,0.00003628658,0.00009221568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008752093,0.0001845314,0.9482011,0.00005277563,0.000400357,0.0001861281,0.0001753914,0.01216222,0.02953382,0.0004941762,0.0001917297,0.007542614],"study_design_scores_gemma":[0.000006890878,0.0001407557,0.9696097,0.000004080994,0.00004154963,0.00006110085,0.0001091983,0.0291837,0.0004551584,0.000324431,0.00005665361,0.000006766212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994091,0.00001286707,0.0004252203,0.000009126919,5.113206e-7,0.00000153613,0.0000415859,0.000005120246,0.00009512692],"genre_scores_gemma":[0.9996691,0.000004093434,0.0001857552,0.000004028761,6.006293e-7,0.000002553087,0.0000418359,0.000001785717,0.00009016592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00252423,"threshold_uncertainty_score":0.007049084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004552704166738645,"score_gpt":0.2111463937142361,"score_spread":0.2065936895474975,"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."}}