{"id":"W2725820920","doi":"","title":"Biogeochemical cycling and ecosystem dynamics during strong El Niño events","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biogeochemical cycle; Cycling; Ecosystem; Environmental science; Ecology; Geography; Oceanography; Geology; Forestry; 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":[0.0002080274,0.0001250174,0.0001556036,0.0002274691,0.0004381168,0.0005525155,0.0001494983,0.0003029737,0.001433058],"category_scores_gemma":[0.0005440406,0.0001347137,0.0001029457,0.0002423546,0.0002595091,0.0003081623,0.0003843445,0.0002602507,0.0001574996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004983589,"about_ca_system_score_gemma":0.0002894005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493965,"about_ca_topic_score_gemma":0.05989487,"domain_scores_codex":[0.9999651,0.000005160243,0.000002498502,0.000006594653,0.000005064268,0.00001560517],"domain_scores_gemma":[0.9998226,0.00003715239,0.00004411269,0.00000692205,0.00002645499,0.00006284715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001192947,0.0002108,0.978836,0.00002142463,0.0000747575,0.0001921075,0.0004454595,0.0007093193,0.011737,0.0001803742,0.0004843068,0.005915437],"study_design_scores_gemma":[0.000006466346,0.00002680967,0.9989544,0.000002030121,0.000005470892,0.00001454875,0.0002360578,0.0003373433,0.0001433102,0.00005570128,0.0002164039,0.000001402565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995831,0.00002728106,0.00001159996,0.00003448853,0.000003893679,8.635016e-7,0.00007036547,0.000001330176,0.0002669813],"genre_scores_gemma":[0.9994699,0.00003064051,0.00001735957,0.00002049689,0.000006045293,0.000002235249,0.0001498531,0.000001182298,0.0003023118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493965,"threshold_uncertainty_score":0.04958898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015159320887916,"score_gpt":0.2071944908645864,"score_spread":0.1920351699766704,"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."}}