{"id":"W6893065418","doi":"10.5281/zenodo.14524342","title":"Climate Solutions Explorer - hazard, impacts and exposure data","year":2024,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"European Commission","keywords":"Climate change; Precipitation; Climate model; Climate extremes; Global warming; NetCDF; Downscaling; Population; Greenhouse gas","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":[0.0013533,0.0008257,0.0006286069,0.003664466,0.000302991,0.001522938,0.0008988185,0.0008342878,0.1358925],"category_scores_gemma":[0.003895781,0.0003676751,0.001010031,0.004551101,0.0001814752,0.001477336,0.002057784,0.00107173,0.03111077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000616168,"about_ca_system_score_gemma":0.001276414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007855525,"about_ca_topic_score_gemma":0.005889022,"domain_scores_codex":[0.9993129,0.0001251621,0.00006207028,0.0001102679,0.0002739124,0.0001158099],"domain_scores_gemma":[0.9979127,0.0009520599,0.0002951857,0.0002961261,0.0003325703,0.000211358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003063582,0.0001044756,0.007220899,0.001672372,0.0001347586,0.0002381916,0.0003465255,0.007358931,0.0008261875,0.009085038,0.8993053,0.07340091],"study_design_scores_gemma":[0.0001270409,0.00003834438,0.01027947,0.0002543968,0.00003396538,0.0001028522,0.0001583743,0.002954093,0.0006421224,0.008681341,0.9766691,0.0000589384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004089506,0.0004059208,0.003335136,0.0004586969,0.00004668991,0.0001227953,0.9490577,0.004850891,0.03763267],"genre_scores_gemma":[0.0411657,0.001081743,0.01681847,0.0005921119,0.00012611,0.001032927,0.912015,0.004111573,0.0230565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1358925,"threshold_uncertainty_score":0.4546058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05453544799455452,"score_gpt":0.3066609136327502,"score_spread":0.2521254656381957,"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."}}