{"id":"W1644466586","doi":"10.1002/2015jc010699","title":"Climate change signal and uncertainty in<scp>CMIP5</scp>‐based projections of global ocean surface wave heights","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"SIGNAL (programming language); Climatology; Forcing (mathematics); Climate change; Environmental science; Variance (accounting); Ensemble average; Climate model; Representative Concentration Pathways; Computer science; Geology; Oceanography","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":[0.002830144,0.0004597211,0.0003266313,0.0005899469,0.0003101291,0.0008251392,0.0005717577,0.0004440332,0.0004543861],"category_scores_gemma":[0.00453726,0.0003092775,0.0008759458,0.0007354537,0.0003307034,0.0008583136,0.0005435057,0.0005443494,0.00008959744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008509961,"about_ca_system_score_gemma":0.0005521878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901339,"about_ca_topic_score_gemma":0.01202904,"domain_scores_codex":[0.9993674,0.0002696666,0.0000408454,0.0001488925,0.0001145614,0.00005856025],"domain_scores_gemma":[0.9983332,0.0007738751,0.0003027505,0.0002376935,0.0002777157,0.00007474573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002024923,0.00007699907,0.1452981,0.00003895297,0.0006213508,0.00008489218,0.00005820582,0.8373874,0.003704294,0.001936828,0.001037401,0.009553099],"study_design_scores_gemma":[0.00003172982,0.00007506584,0.0970267,0.00001374334,0.00008024541,0.00002573134,0.0000509835,0.8987361,0.002146033,0.001173674,0.0005956126,0.00004427542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936876,0.00005790458,0.00458577,0.0001776989,0.00002226421,0.000006076047,0.0007089596,0.0001171113,0.0006366119],"genre_scores_gemma":[0.9985012,0.00002149679,0.0007245986,0.00001491519,0.000007925923,0.000004463016,0.0006838877,0.000009858865,0.00003165188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01901339,"threshold_uncertainty_score":0.03780544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150108068530105,"score_gpt":0.3479735039831972,"score_spread":0.2329626971301867,"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."}}