{"id":"W4402740683","doi":"10.1007/s10021-024-00932-x","title":"Integrating Field Data and a Meta-ecosystem Model to Study the Effects of Multiple Terrestrial Disturbances on Small Stream Ecosystem Function","year":2024,"lang":"en","type":"article","venue":"Ecosystems","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem; Environmental science; Ecology; Terrestrial ecosystem; Field (mathematics); Function (biology); Ecosystem model; Environmental resource management; Biology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00084052,0.0002073162,0.0003909887,0.00005265471,0.0002221368,0.00007549635,0.0004287969,0.00005197064,0.00003844932],"category_scores_gemma":[0.0002692127,0.0001197873,0.00005988199,0.0001777869,0.00001629521,0.0001565583,0.0006300372,0.0001361653,0.00005769057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005187956,"about_ca_system_score_gemma":0.000005294871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004850236,"about_ca_topic_score_gemma":0.08998752,"domain_scores_codex":[0.9984403,0.0002278124,0.0003653034,0.0005656753,0.000202324,0.0001986281],"domain_scores_gemma":[0.9982455,0.001032755,0.0001035406,0.00056947,0.00000440549,0.00004430837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001632094,0.003091661,0.4462602,0.007466647,0.02903036,0.0002652262,0.03402398,0.02422128,0.001603212,0.001682264,0.4119019,0.03882121],"study_design_scores_gemma":[0.002186795,0.005565975,0.02394729,0.0005619595,0.006965472,0.00001184866,0.009370533,0.9211181,0.0008415201,0.0002571728,0.02825573,0.0009175978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915844,0.0002209292,0.002259968,0.000381756,0.001425088,0.002278651,0.00009078434,0.00008256388,0.001675864],"genre_scores_gemma":[0.9990789,0.00001202956,0.00005597917,0.0001015808,0.0000935607,0.0003968997,0.000008305201,0.00001352987,0.0002392239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8968968,"threshold_uncertainty_score":0.9266179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851959371989451,"score_gpt":0.2510742875816973,"score_spread":0.2125546938618028,"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."}}