{"id":"W1979074586","doi":"10.1007/s00382-004-0446-5","title":"A method for obtaining pre-twentieth century initial conditions for use in climate change studies","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Initialization; Radiative forcing; Climatology; Forcing (mathematics); Climate change; Environmental science; Climate model; Radiative transfer; Meteorology; Computer science; Geology; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008680102,0.0002432469,0.0003704129,0.00008353294,0.000359438,0.00006608602,0.00019463,0.0001448358,0.00002715651],"category_scores_gemma":[0.0001939341,0.0002458016,0.0001601537,0.0002172361,0.000189063,0.0006482148,0.0003222285,0.0001360225,0.000012304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861814,"about_ca_system_score_gemma":0.00001413305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852243,"about_ca_topic_score_gemma":0.002499742,"domain_scores_codex":[0.9979741,0.00006556245,0.0004687186,0.000543146,0.0001540944,0.0007943519],"domain_scores_gemma":[0.9988451,0.0005831582,0.0001589014,0.0002916573,0.0000272754,0.00009389404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003148072,0.004995765,0.1702245,0.004956879,0.0004607557,0.00007491957,0.05944107,0.3197918,0.007940972,0.3907719,0.0003088752,0.0378845],"study_design_scores_gemma":[0.006058614,0.0006104842,0.01837404,0.0004118704,0.0002419314,0.0000192689,0.005338002,0.9082,0.0001807144,0.05855467,0.0009897602,0.001020654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527889,0.00006200069,0.03864504,0.0005790727,0.0006440309,0.002832372,0.003956187,0.0001432681,0.000349118],"genre_scores_gemma":[0.8409544,0.001745113,0.1527433,0.0008922788,0.0001118848,0.002406255,0.001056269,0.00007803072,0.00001246968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5884082,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0930071884275997,"score_gpt":0.3787009231504609,"score_spread":0.2856937347228612,"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."}}