{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003803834,0.0001078146,0.0001805866,0.00004571514,0.0002715343,0.000005725782,0.0001029467,0.0001289433,0.0004666545],"category_scores_gemma":[0.0001519038,0.0001079544,0.00003508406,0.0001762105,0.00007185052,0.0003041804,0.0001237415,0.0002548955,0.0006219741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425995,"about_ca_system_score_gemma":0.00001000181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002865023,"about_ca_topic_score_gemma":0.02393183,"domain_scores_codex":[0.9988473,0.000210272,0.0002707056,0.0002012068,0.00007288902,0.0003976369],"domain_scores_gemma":[0.9994882,0.000255128,0.00007312313,0.0001302611,0.000006373376,0.00004689007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006440461,0.00007597306,0.9378442,0.000008625252,0.00001418393,0.000002329326,0.001204824,0.05331581,0.00001214779,0.007486904,0.00001874471,0.000009777574],"study_design_scores_gemma":[0.0006247447,0.0001009274,0.7802964,0.00001111671,0.00002746156,0.00002010892,0.0008793374,0.1983355,0.000003173334,0.01932884,0.0001705425,0.000201819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957505,0.0001192305,0.000411542,0.0006981912,0.0005528514,0.0001847786,0.000006125587,0.00003290481,0.002243903],"genre_scores_gemma":[0.9984367,0.00003194869,0.001125141,0.0001483011,0.00006027148,0.0000779762,0.000008201194,0.00001135019,0.0001001167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1575478,"threshold_uncertainty_score":0.9938788,"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."}}