{"id":"W4224310097","doi":"10.1002/ecy.3734","title":"A mechanistic model of functional response provides new insights into indirect interactions among arctic tundra prey","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Center for Northern Studies; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Environment Canada; Canada Research Chairs; Arctic Goose Joint Venture; Université du Québec à Rimouski; W. Garfield Weston Foundation; Polar Knowledge Canada; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Tundra; Predation; Foraging; Ecology; Predator; Arctic; Biology; Functional response","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":[0.0007424335,0.0009436358,0.0005532103,0.0004389171,0.0003918379,0.0007864389,0.001020845,0.00124653,0.002884797],"category_scores_gemma":[0.001366387,0.0003897523,0.0009770697,0.0002705145,0.0006146989,0.001231846,0.0007226108,0.0007160972,0.0004542267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008108878,"about_ca_system_score_gemma":0.0007132718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009675455,"about_ca_topic_score_gemma":0.005171702,"domain_scores_codex":[0.9997943,0.00006878244,0.00001052608,0.00006214438,0.00002507304,0.00003931515],"domain_scores_gemma":[0.9996523,0.0001358227,0.00009189715,0.00003872231,0.0000474039,0.00003392871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006337892,0.0001446638,0.01827836,0.0001994341,0.0001964662,0.0004601523,0.0003008596,0.8908402,0.01748216,0.06155114,0.0007778819,0.009705362],"study_design_scores_gemma":[0.000008912771,0.00005192572,0.009569286,0.00001517288,0.00004585672,0.0001869831,0.00007803222,0.9718041,0.0003120309,0.01666892,0.001234991,0.00002388711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.632442,0.001031068,0.3428629,0.001409165,0.0001020909,0.0001029443,0.001174738,0.0002664872,0.02060859],"genre_scores_gemma":[0.9855244,0.0004281001,0.009701326,0.0001664875,0.00003741298,0.000115274,0.0001747642,0.00003492213,0.003817369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009675455,"threshold_uncertainty_score":0.01923823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661829636980816,"score_gpt":0.2316746981506798,"score_spread":0.2150564017808717,"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."}}