{"id":"W4236320864","doi":"10.4095/300969","title":"Potential Impacts: Sensitivity of River Regions to Climate Change","year":2010,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Sensitivity (control systems); Environmental science; Climatology; Geography; Geology; Oceanography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429826,0.0004467142,0.0002789738,0.001344578,0.0003892718,0.001665919,0.0006372283,0.0006135169,0.005197585],"category_scores_gemma":[0.005393019,0.0003545374,0.001196423,0.002656591,0.000308941,0.001415482,0.00150695,0.0005329951,0.0006621134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504037,"about_ca_system_score_gemma":0.0009504157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03133843,"about_ca_topic_score_gemma":0.03428157,"domain_scores_codex":[0.9984913,0.0005832593,0.00009105578,0.0001744014,0.0004122273,0.0002477597],"domain_scores_gemma":[0.996771,0.001194286,0.0006071748,0.0002190445,0.0009643522,0.0002440902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003657019,0.00009652059,0.7732666,0.0003020625,0.0006358363,0.0008556222,0.0004435837,0.1799331,0.003099507,0.004142816,0.005781187,0.03107755],"study_design_scores_gemma":[0.00001555852,0.0001771169,0.9238861,0.0000664926,0.0002311064,0.0005976156,0.001207666,0.05110155,0.002906476,0.006177741,0.01353462,0.00009800072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699134,0.0019558,0.009860361,0.002037652,0.00008371173,0.0003590657,0.03731648,0.0003673145,0.07810618],"genre_scores_gemma":[0.9930348,0.0006290535,0.00117492,0.0001067722,0.00002681259,0.00005819784,0.003165212,0.00002740036,0.00177686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03133843,"threshold_uncertainty_score":0.06231201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666873898878802,"score_gpt":0.268136734328808,"score_spread":0.24146799534002,"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."}}