{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002970207,0.0001493328,0.0001655274,0.00003210851,0.0001582617,0.0000357349,0.0001064961,0.00006414357,0.000008055447],"category_scores_gemma":[0.0001037055,0.0001329552,0.00003081867,0.00004913588,0.0000304696,0.0001330156,0.00005597428,0.0001359186,0.0001016859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002287347,"about_ca_system_score_gemma":0.000009730627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.020168,"about_ca_topic_score_gemma":0.04614649,"domain_scores_codex":[0.9989129,0.00002552329,0.0002500825,0.0002588671,0.0002277127,0.0003248789],"domain_scores_gemma":[0.999491,0.00008726458,0.00009751302,0.0001039699,0.00001037089,0.000209848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001311815,0.000009958218,0.9931396,0.00002957736,0.00001671297,0.00001797331,0.00009472615,0.004432914,0.00002849973,0.00000154291,0.00002865701,0.002186668],"study_design_scores_gemma":[0.0003265884,0.00003625021,0.9904465,0.00007051961,0.00001641844,0.00003316717,0.000742131,0.007501855,0.00019086,0.0001646656,0.0002700432,0.0002009902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750134,0.0003162359,0.000001332845,0.00008918198,0.000165141,0.00007743729,0.00004634973,0.00004479377,0.02424614],"genre_scores_gemma":[0.9993138,0.00006578565,0.0003136203,0.00002169063,0.0001223797,8.188796e-7,0.00008877074,0.000005043283,0.00006807139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02597849,"threshold_uncertainty_score":0.9863568,"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."}}