{"id":"W3155815203","doi":"10.1029/2020gl091814","title":"Multidecadal Variability in Mediterranean Sea Surface Temperature and Its Sources","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Hohai University","keywords":"Atlantic multidecadal oscillation; North Atlantic oscillation; Climatology; Mediterranean climate; Mediterranean sea; Forcing (mathematics); Sea surface temperature; Environmental science; Lag; Oceanography; Climate change; Atlantic Equatorial mode; Geography; Geology","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":[0.0004389591,0.000172139,0.0001621204,0.0005430696,0.0001239146,0.0004733038,0.0001334474,0.0001775219,0.0007377983],"category_scores_gemma":[0.00103843,0.00009204242,0.0003106706,0.0005573932,0.00007580429,0.0002337343,0.0004770378,0.0002378465,0.0001569051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582048,"about_ca_system_score_gemma":0.00009728075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667773,"about_ca_topic_score_gemma":0.003269254,"domain_scores_codex":[0.9999057,0.00001557137,0.00000925419,0.00004005048,0.00001717751,0.00001222894],"domain_scores_gemma":[0.9995081,0.00009250287,0.0001643174,0.00006856781,0.000117342,0.00004910748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349594,0.00002457971,0.9686402,0.00003491893,0.0003595299,0.00009276791,0.0001677321,0.004856776,0.003768505,0.0005829253,0.001022016,0.02031509],"study_design_scores_gemma":[0.000003116702,0.00001105504,0.993315,0.000007525367,0.00002003128,0.0000279077,0.00005014498,0.005118587,0.000210845,0.0002338516,0.000996185,0.000005825155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954686,0.0006230572,0.001161153,0.0001807641,0.00003881424,0.000003596115,0.001364781,0.00004831998,0.001110835],"genre_scores_gemma":[0.9991632,0.00006863323,0.0001111473,0.00001040553,0.00001713381,0.000002422608,0.0004882701,0.000005055238,0.0001339113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003667773,"threshold_uncertainty_score":0.007292867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403892673724565,"score_gpt":0.3103774993165525,"score_spread":0.269988231944096,"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."}}