{"id":"W2313367364","doi":"10.1038/srep24260","title":"A new dipole index of the salinity anomalies of the tropical Indian Ocean","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; State Key Laboratory of Satellite Ocean Environment Dynamics; National Natural Science Foundation of China; Nanjing University of Information Science and Technology; Nanjing University; Government of Jiangsu Province","keywords":"Dipole; Anomaly (physics); Indian Ocean Dipole; Geology; Advection; Index (typography); Subtropical Indian Ocean Dipole; Climatology; Salinity; Sea surface temperature; Physics; Computer science; Oceanography; Condensed matter physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516624,0.0002649922,0.0002165275,0.0008849123,0.0001393012,0.0006878279,0.0003122503,0.0001839359,0.0009799275],"category_scores_gemma":[0.0008976001,0.0001249953,0.0004051389,0.001052374,0.0002266538,0.0004968572,0.0003916979,0.0002826203,0.0001327887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186514,"about_ca_system_score_gemma":0.0003488942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928337,"about_ca_topic_score_gemma":0.00403242,"domain_scores_codex":[0.9999045,0.00001255145,0.00001181598,0.00002790906,0.00002713457,0.00001598081],"domain_scores_gemma":[0.9996774,0.0000720579,0.00009200872,0.00003599679,0.00007998112,0.00004254243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004096227,0.0002218651,0.4740014,0.0002280183,0.0003703161,0.0002829475,0.0002460838,0.3311026,0.07348797,0.007963293,0.004020199,0.1076657],"study_design_scores_gemma":[0.00009513769,0.0001691527,0.3544659,0.00001772889,0.0001030677,0.00027042,0.0001709566,0.6201631,0.01167386,0.003277348,0.009498974,0.0000942499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241469,0.0004279584,0.1571092,0.0002138294,0.0001776075,0.0001723473,0.003979942,0.00140808,0.0123642],"genre_scores_gemma":[0.9808097,0.0001519603,0.01692517,0.00001886503,0.00003942495,0.00003479267,0.001377273,0.00007173094,0.0005710761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004928337,"threshold_uncertainty_score":0.009799302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006887886200150069,"score_gpt":0.1858261048934163,"score_spread":0.1789382186932662,"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."}}