{"id":"W2031160210","doi":"10.1175/2011jcli4137.1","title":"On North American Decadal Climate for 2011–20","year":2011,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Program Office; National Oceanic and Atmospheric Administration","keywords":"Predictability; Climatology; Forcing (mathematics); Environmental science; Climate model; Climate change; Precipitation; Greenhouse gas; Abrupt climate change; Sea surface temperature; Forecast skill; Noise (video); Global warming; Geology; Meteorology; Effects of global warming; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000747807,0.0001561017,0.0003181297,0.00005951964,0.0001368283,0.00002126785,0.0003074188,0.00003736268,0.001218022],"category_scores_gemma":[0.00006090558,0.0001214889,0.0002053213,0.0001084769,0.000181475,0.0002770821,0.0001124669,0.0001774281,0.0003263307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037706,"about_ca_system_score_gemma":0.00001266946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005017589,"about_ca_topic_score_gemma":0.0002980054,"domain_scores_codex":[0.9984421,0.00004883739,0.0005432265,0.0001921519,0.0002992303,0.0004745079],"domain_scores_gemma":[0.9988294,0.0001582925,0.0005587812,0.0002259597,0.00003044684,0.000197066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005304691,0.002225572,0.928632,0.0001314082,0.0001404734,0.000107923,0.003196076,0.006606891,0.003759642,0.006321662,0.008948128,0.03462557],"study_design_scores_gemma":[0.00409855,0.007334796,0.9314487,0.0001126431,0.0003392049,0.0002355687,0.0004392586,0.005586831,0.003254452,0.01224483,0.03376573,0.001139421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866556,0.000007369376,0.00055513,0.0002082263,0.0002635792,0.0001612823,0.00007049566,0.00001625571,0.01206209],"genre_scores_gemma":[0.9915746,0.000455814,0.007231704,0.0005864674,0.00007985068,0.000007150105,0.000003894624,0.00002385034,0.000036616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03348615,"threshold_uncertainty_score":0.999695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966329511763882,"score_gpt":0.2646424238056697,"score_spread":0.2349791286880309,"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."}}