{"id":"W4290720678","doi":"10.1007/s00442-022-05218-4","title":"Wolf spatial behavior promotes encounters and kills of abundant prey","year":2022,"lang":"en","type":"article","venue":"Oecologia","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Predation; Habitat; Biology; Ecology; Canis; Predator; Generalist and specialist species; Abundance (ecology); Fishery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001723005,0.00008300046,0.0001363417,0.00001727587,0.0002767056,0.000004148711,0.0001354156,0.00003732229,0.007581367],"category_scores_gemma":[0.00002380095,0.00007301399,0.00002876663,0.00006165371,0.0003628271,0.00004942049,0.0005707201,0.0001220662,0.00003719392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008596524,"about_ca_system_score_gemma":0.000008474819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001752042,"about_ca_topic_score_gemma":0.0007600672,"domain_scores_codex":[0.999305,0.00004801363,0.0001369176,0.00020905,0.0001276541,0.0001733632],"domain_scores_gemma":[0.9997535,0.00004736414,0.00007947894,0.00008644326,0.000003723987,0.00002944508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000022748,0.0002470431,0.9834338,0.000002638974,0.000005946065,0.00001950713,0.0003609294,0.00001130631,0.01150189,0.00001523333,0.0006490598,0.003729916],"study_design_scores_gemma":[0.0001677363,0.0007988024,0.996708,8.336046e-7,0.00003469698,0.00001255746,0.0003100962,0.00001615416,0.001011539,0.00003368745,0.0008187943,0.00008708988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974102,0.00002293755,0.000006755052,0.00008221046,0.0001514151,0.0002551847,0.0000168219,0.00001953599,0.002034911],"genre_scores_gemma":[0.9989381,0.00000690661,0.0002087288,0.00007851912,0.000005855945,0.0001595563,0.000002809825,0.000004981657,0.0005945477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327423,"threshold_uncertainty_score":0.9933258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008410684270790107,"score_gpt":0.2292811104953363,"score_spread":0.2208704262245462,"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."}}