{"id":"W2072455239","doi":"10.1029/2008gl033234","title":"Multi‐model decadal potential predictability of precipitation and temperature","year":2008,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Predictability; Climatology; Northern Hemisphere; Precipitation; Environmental science; Climate model; Latitude; Sea surface temperature; Atmospheric sciences; Climate change; Meteorology; Geology; Oceanography; Geography; Mathematics; Statistics","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":[0.0005073876,0.00009099656,0.0001411523,0.00003288304,0.000212767,0.00001391591,0.000169075,0.00006914467,0.00007816221],"category_scores_gemma":[0.0002333401,0.00007938082,0.0000526971,0.0002008031,0.001159482,0.0002391792,0.0002820954,0.0003375951,0.00003404454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007739921,"about_ca_system_score_gemma":0.00002212696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000561237,"about_ca_topic_score_gemma":0.00002769469,"domain_scores_codex":[0.9982031,0.0001854463,0.0001690604,0.0003737201,0.000720058,0.0003485907],"domain_scores_gemma":[0.9993601,0.0001825051,0.00002549301,0.0002580179,0.00003137226,0.0001425178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008911077,0.0002658389,0.0102491,0.00002435293,0.000005851091,0.000004814433,0.001073375,0.00927434,0.9776357,0.00004534782,0.001095152,0.0002369826],"study_design_scores_gemma":[0.0008201131,0.0001671163,0.6977664,0.00001525616,0.000008869923,0.000006170787,0.00006840112,0.2918205,0.007554934,0.001523219,0.00005871146,0.0001903181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997604,0.000005435239,0.0006855637,0.001255871,0.00002337432,0.0002831387,0.00002437586,0.0000170294,0.0001012142],"genre_scores_gemma":[0.9964067,0.00001753232,0.003281898,0.0001314415,0.00003521298,0.00002284303,0.000008988884,0.000007614387,0.00008776216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9700808,"threshold_uncertainty_score":0.4272161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017897891654407,"score_gpt":0.3041660117036199,"score_spread":0.2639870327870758,"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."}}