{"id":"W4393885873","doi":"10.5281/zenodo.5517857","title":"Forest defoliator outbreaks disrupt nutrient cycling in northern waters","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Ministry of the Environment, Conservation and Parks; Canadian Forest Service","funders":"","keywords":"Cycling; Nutrient cycle; Nutrient; Environmental science; Outbreak; Ecology; Forestry; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006927486,0.001058122,0.0006748439,0.001574953,0.0004973173,0.001056268,0.001508867,0.0009952594,0.02968867],"category_scores_gemma":[0.002151079,0.0004673773,0.000891044,0.003327888,0.0002518174,0.0006573291,0.00108223,0.0009590649,0.02002374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171529,"about_ca_system_score_gemma":0.001327508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04279458,"about_ca_topic_score_gemma":0.09414976,"domain_scores_codex":[0.9995845,0.00006304215,0.00005554617,0.000122916,0.0001010902,0.00007293654],"domain_scores_gemma":[0.9990479,0.0001925245,0.0001624137,0.0002027492,0.0002548862,0.0001395106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008779938,0.00006466707,0.007352765,0.0006037164,0.00007234629,0.00005642046,0.0000854683,0.001805556,0.0003328006,0.0006669466,0.9846363,0.004235162],"study_design_scores_gemma":[0.0004610213,0.00003580755,0.05726596,0.0003531812,0.00006109517,0.00009721876,0.000227168,0.003501418,0.0008680154,0.00151285,0.935554,0.00006227699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008199048,0.00002862669,0.00004809505,0.00004649859,0.00001075556,0.000007441704,0.998384,0.0001569036,0.0004977778],"genre_scores_gemma":[0.001347378,0.00002542375,0.0003098322,0.00002159975,0.000004154947,0.00004815846,0.9977801,0.00004033483,0.0004229625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04279458,"threshold_uncertainty_score":0.09931844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130475240557113,"score_gpt":0.2145360152463151,"score_spread":0.2014884911906038,"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."}}