{"id":"W3006937186","doi":"10.29150/jhrs.v9.6.p353-360","title":"Empiric Forecasting of Dominant Modes to Summer Precipitation Anomaly of Northeast Brazil","year":2020,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Alagoas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Theoretical Astrophysics","keywords":"Intertropical Convergence Zone; Climatology; Anomaly (physics); Precipitation; Sea surface temperature; Rossby wave; Environmental science; Linear regression; Regression analysis; Geography; Meteorology; Geology; Mathematics; Statistics","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":[0.0002414289,0.0001028595,0.0002560149,0.00006978911,0.00003663454,0.00001173829,0.0001142057,0.0000204973,0.00003577349],"category_scores_gemma":[0.0001604185,0.00008514921,0.0001306324,0.0003005705,0.00005215029,0.0001536792,0.0002873891,0.0001028322,0.000005496684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007848539,"about_ca_system_score_gemma":0.00001603846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004072073,"about_ca_topic_score_gemma":0.0001828324,"domain_scores_codex":[0.9988432,0.00003442548,0.000453217,0.0001331125,0.0003649647,0.0001710657],"domain_scores_gemma":[0.9993317,0.0000386049,0.0003666257,0.00008454325,0.00005289972,0.0001256377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003804537,0.00004603573,0.002066696,0.00004968102,0.00004651168,0.00006881287,0.003247143,0.02421631,0.4555644,0.00002194366,0.000355582,0.5139364],"study_design_scores_gemma":[0.003466537,0.005156301,0.07087689,0.0008150234,0.0005360539,0.0006824038,0.01217551,0.5222007,0.3765607,0.00373697,0.002786223,0.001006718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776169,0.00002461905,0.01431515,0.002233873,0.00005765675,0.0001070294,0.000001242974,0.000003501189,0.005640038],"genre_scores_gemma":[0.9509689,0.000009779392,0.04874665,0.0001521209,0.0000697432,8.485657e-9,2.890466e-7,0.000009932452,0.00004258208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5129297,"threshold_uncertainty_score":0.3472284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338693522481941,"score_gpt":0.2578387861693084,"score_spread":0.2239694339211143,"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."}}