{"id":"W4416285068","doi":"10.1111/1365-2435.70197","title":"Integrating predator energetic balance, risk‐taking behaviour and microhabitat in functional response to untangle indirect interactions in a multispecies vertebrate community","year":2025,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Center for Northern Studies; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Kenneth M. Molson Foundation; Polar Knowledge Canada; Canada Foundation for Innovation; Arctic Goose Joint Venture; Université du Québec à Rimouski; Environment Canada; Canada Research Chairs; ArcticNet; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Predation; Tundra; Foraging; Predator; Functional response; Vertebrate; Nest (protein structural motif); Arctic; Optimal foraging theory","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":[0.0006853096,0.0001604361,0.0002395208,0.0002714027,0.0005091738,0.00001654651,0.0001122203,0.0001003808,0.001458416],"category_scores_gemma":[0.0009625913,0.0001615437,0.00003758866,0.0004866542,0.0002519932,0.0001569988,0.0003870451,0.000668707,0.0001022793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006236288,"about_ca_system_score_gemma":0.00004882878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387391,"about_ca_topic_score_gemma":0.1540266,"domain_scores_codex":[0.9983538,0.000651643,0.0003106367,0.0003147562,0.00008405816,0.0002850777],"domain_scores_gemma":[0.9986193,0.001066927,0.0001242184,0.0001228575,0.00001891068,0.00004775538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000847696,0.0003057146,0.9902114,0.000003148174,0.00001500373,0.00001087672,0.0005779959,0.0007473074,0.005301652,0.00009097908,0.001454675,0.0004335253],"study_design_scores_gemma":[0.0006641676,0.0001472807,0.9959361,0.00002418636,0.00001983624,0.00001445997,0.001715784,0.0003920547,0.0001497992,0.0002299845,0.0005759165,0.000130414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973509,0.00002859215,0.00009846116,0.0005506043,0.0006087043,0.0002114288,0.00002774932,0.00002773798,0.001095819],"genre_scores_gemma":[0.9974906,0.000009510108,0.0005596896,0.0005029249,0.00001537007,0.0002186093,0.0000171016,0.000007360393,0.001178837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1526393,"threshold_uncertainty_score":0.9994544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945355254490129,"score_gpt":0.2684033707632204,"score_spread":0.248949818218319,"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."}}