{"id":"W2756987378","doi":"10.2984/71.4.7","title":"Impacts of Endangered Seabirds on Nutrient Cycling in Montane Forest Ecosystems of Hawai‘i","year":2017,"lang":"en","type":"article","venue":"Pacific Science","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; National Institute of Food and Agriculture; U.S. Geological Survey; University of Hawai'i; National Oceanic and Atmospheric Administration; Ministry of Economy, Trade and Industry; National Geographic Society; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Seabird; Ecosystem; Understory; Ecology; Nutrient; Nutrient cycle; Species richness; Habitat; Biology; Endangered species; Biodiversity; Environmental science; Canopy","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":[],"consensus_categories":[],"category_scores_codex":[0.001656082,0.00011015,0.0002797273,0.0001678534,0.0002296088,0.00003891398,0.001082572,0.00004971119,0.0001691155],"category_scores_gemma":[0.0006452164,0.00009388378,0.0000588445,0.000434848,0.001247858,0.0003564334,0.0003118615,0.00009419483,0.00008497611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287254,"about_ca_system_score_gemma":0.00004506666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292944,"about_ca_topic_score_gemma":0.006928709,"domain_scores_codex":[0.9981715,0.00004213783,0.0003866782,0.000401994,0.0006015429,0.0003961227],"domain_scores_gemma":[0.9984181,0.00009143868,0.0004427556,0.0009214018,0.00002440576,0.000101888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001751857,0.0001114679,0.9078629,0.000009473794,0.000002903926,0.000009332024,0.0006965675,0.001084668,0.08889148,0.0002882611,0.00004311805,0.0009823217],"study_design_scores_gemma":[0.0003469946,0.0001664199,0.8749254,0.00006142152,0.000006838934,0.000006217523,0.0006708114,0.008876816,0.1141285,0.0005574717,0.0001188689,0.0001342769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678898,0.00001215304,0.00007957628,0.00008880826,0.0002241314,0.0001863269,0.000005827878,0.000006772902,0.03150662],"genre_scores_gemma":[0.9994842,0.00002008708,0.0003765864,0.000009766535,0.00001285662,0.000009727139,5.88945e-7,0.000006069558,0.00008011912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03293754,"threshold_uncertainty_score":0.4597783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432959210687344,"score_gpt":0.2652680697393865,"score_spread":0.2509384776325131,"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."}}