{"id":"W2036279887","doi":"10.1890/11-1973.1","title":"Disentangling trophic relationships in a High Arctic tundra ecosystem through food web modeling","year":2012,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université du Québec à Rimouski; Center for Northern Studies; Université Laval","funders":"","keywords":"Tundra; Predation; Herbivore; Trophic level; Ecology; Ecosystem; Food web; Biology; Apex predator; Trophic cascade; Arctic; Predator; Abundance (ecology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001072246,0.0007555133,0.0005886245,0.0009936781,0.0007763152,0.0008555831,0.0008221901,0.0006674846,0.001106302],"category_scores_gemma":[0.001751364,0.0004758219,0.00110894,0.0007880109,0.0002427223,0.0005847826,0.00048423,0.0003965292,0.0001781658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513459,"about_ca_system_score_gemma":0.001423155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1843273,"about_ca_topic_score_gemma":0.152107,"domain_scores_codex":[0.9997937,0.00009121142,0.00001220616,0.00004984522,0.0000146408,0.00003844481],"domain_scores_gemma":[0.9990576,0.0005830931,0.0001439919,0.00004329198,0.00009081006,0.00008127874],"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":[0.000146419,0.0001626945,0.0854952,0.00005226001,0.0003993651,0.0001522973,0.0001102001,0.9039199,0.001646601,0.0009162357,0.000216051,0.006782813],"study_design_scores_gemma":[0.00000717036,0.00002288065,0.007950612,0.000004075275,0.00003057853,0.00001287072,0.00003360316,0.9914875,0.0000732076,0.0002521687,0.0001199675,0.000005401823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925337,0.0001135608,0.006234356,0.00005378164,0.000004537232,0.00001187648,0.0003527236,0.00009711674,0.0005983944],"genre_scores_gemma":[0.9914289,0.00007538127,0.007722517,0.00002200232,0.000004430166,0.00002866487,0.0003496525,0.0000135553,0.0003548777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1843273,"threshold_uncertainty_score":0.3665087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329418812185528,"score_gpt":0.2367924354505143,"score_spread":0.2038505542319615,"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."}}