{"id":"W4367055237","doi":"10.1142/9789811275449_0022","title":"RECENT ADVANCES AND SHORTCOMINGS IN DOWNSCALING APPROACHES FOR CLIMATE CHANGE IMPACT AND ADAPTATION STUDIES","year":2023,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Adaptation (eye); Computer science; Climate change; Climatology; 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":[0.01897706,0.001065566,0.001318626,0.002520174,0.001065499,0.004847056,0.003515986,0.001042973,0.004683094],"category_scores_gemma":[0.05034197,0.0005520034,0.0008136216,0.006276603,0.001128489,0.003128999,0.002301002,0.002192684,0.001003146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464388,"about_ca_system_score_gemma":0.003245943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067475,"about_ca_topic_score_gemma":0.05110541,"domain_scores_codex":[0.9951403,0.001832935,0.0007255222,0.0008440745,0.001292362,0.0001647487],"domain_scores_gemma":[0.9708611,0.01313525,0.002691773,0.003961889,0.008930804,0.0004191422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001762462,0.0001818166,0.03927945,0.001471574,0.0004899931,0.00005900407,0.001472594,0.05811227,0.003652726,0.02232855,0.007507656,0.8652681],"study_design_scores_gemma":[0.0001519138,0.0003912311,0.1083534,0.003482752,0.001290016,0.0003105895,0.005623433,0.4644195,0.0184514,0.09535544,0.3017309,0.000439471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1829049,0.03031351,0.7277169,0.0159123,0.002411396,0.0003713954,0.003655438,0.002785507,0.03392876],"genre_scores_gemma":[0.3407447,0.02131708,0.6272934,0.001425531,0.001350961,0.0003232115,0.002270539,0.001508922,0.003765632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03067475,"threshold_uncertainty_score":0.1003615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154694365798958,"score_gpt":0.3281251900040951,"score_spread":0.1126557534241993,"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."}}