{"id":"W2999595812","doi":"10.1029/2019ef001402","title":"Climate Assessment Moves Local","year":2020,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"Electric Power Research Institute; California Energy Commission","keywords":"Downscaling; Climate change; Environmental planning; Environmental resource management; Variety (cybernetics); Political science; Climate model; Political economy of climate change; Adaptation (eye); Geography; Environmental science; Ecology; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001463746,0.0001471104,0.0003119402,0.00005230746,0.0001030358,0.00007616121,0.0001700608,0.0001101384,0.00219001],"category_scores_gemma":[0.0000118395,0.0001703169,0.00011631,0.0001223843,0.00003727171,0.0001776084,0.00008751145,0.0002019591,0.002969681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540696,"about_ca_system_score_gemma":0.000009161219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002391557,"about_ca_topic_score_gemma":0.00002881367,"domain_scores_codex":[0.9989062,0.000006846468,0.0003672664,0.0003457773,0.00002027795,0.0003536347],"domain_scores_gemma":[0.9994422,0.00001527332,0.000157369,0.0002013076,0.000008554787,0.0001752568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005012543,0.0000865881,0.04744936,0.0001611778,0.00007942969,0.00001993547,0.003064699,0.0003907021,0.00004495669,0.9249176,0.01405224,0.009683168],"study_design_scores_gemma":[0.0007411742,0.0001212691,0.05225133,0.000009452055,0.000005826872,0.000004966988,0.000958531,0.01361244,0.0001312995,0.006242798,0.9254559,0.0004650073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5582753,0.005846788,0.009460957,0.09825503,0.003888239,0.00066311,0.00291444,0.0004647515,0.3202314],"genre_scores_gemma":[0.9847919,0.001436005,0.001796798,0.008999607,0.002608059,0.00001520969,0.00007930733,0.00003807161,0.0002350919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186748,"threshold_uncertainty_score":0.9987221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728207938033807,"score_gpt":0.2420340934350657,"score_spread":0.1847520140547276,"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."}}