{"id":"W2002704263","doi":"10.1142/s0219493702000443","title":"CONCEPTUAL STOCHASTIC CLIMATE MODELS","year":2002,"lang":"en","type":"article","venue":"Stochastics and Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canadian Institute for Advanced Research","funders":"","keywords":"Stochastic modelling; Simple (philosophy); Climate model; Climate change; Stochastic process; Mathematics; Dynamics (music); Mathematical economics; Econometrics; Statistical physics; Epistemology; Statistics; Geology; Sociology; Physics","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":[0.0001376153,0.0001601776,0.0001617694,0.00002282079,0.0001930508,0.00003856036,0.0001239352,0.00008771283,0.0007361228],"category_scores_gemma":[0.00003341374,0.0001540516,0.00003800187,0.00009653279,0.0004367072,0.0001635378,0.0002622468,0.0001366716,0.0001492971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009490671,"about_ca_system_score_gemma":0.000002438864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005352506,"about_ca_topic_score_gemma":0.0001093127,"domain_scores_codex":[0.9988832,0.00001651656,0.0002004619,0.000325795,0.0002000346,0.0003739474],"domain_scores_gemma":[0.9994666,0.00008978196,0.00005163071,0.0002240335,0.000009350078,0.0001586262],"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":[0.00001554889,0.0001257906,0.0002973498,0.000009619986,0.000008987675,0.000004351015,0.001316294,0.6918246,0.00005473841,0.3026221,0.0002045632,0.003516132],"study_design_scores_gemma":[0.0002796162,0.000071383,0.00008838525,0.00000759578,0.0000196498,0.00001178723,0.0001847692,0.9768971,3.812809e-7,0.02218294,0.0000656827,0.0001906627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.289246,0.00007477761,0.6895999,0.0002558467,0.0001916071,0.0002751627,0.0001810469,0.00008824757,0.02008746],"genre_scores_gemma":[0.9973636,0.00006120243,0.00209751,0.0001807071,0.00002601837,0.00001170502,0.0000154345,0.00001781919,0.000226028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7081176,"threshold_uncertainty_score":0.8060029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268846813545734,"score_gpt":0.2105233930797449,"score_spread":0.1878349249442876,"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."}}