{"id":"W2510271258","doi":"","title":"Integrated Observations/Modeling of Water Cycle Extremes and Attribution of Changes in the Components of the Hydrological Cycle to Human Influences II Posters","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Water cycle; Attribution; Environmental science; Climatology; Atmospheric sciences; Psychology; Geology; Biology; Social psychology; Ecology","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":[0.0005785504,0.00006338893,0.0001342518,0.00002747197,0.0001053551,0.000004846349,0.0001452837,0.00002785544,0.00000505502],"category_scores_gemma":[0.00005104336,0.0000294874,0.00001620136,0.00009422524,0.000117375,0.00005602783,0.00006041354,0.0000483637,0.000001417591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000040435,"about_ca_system_score_gemma":0.000002964817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01607211,"about_ca_topic_score_gemma":0.007866485,"domain_scores_codex":[0.9992986,0.0001023132,0.0002030077,0.00008975672,0.0001929366,0.0001133455],"domain_scores_gemma":[0.9997615,0.00004933372,0.00007202882,0.00007351058,0.00002076656,0.00002282931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001374671,0.000015178,0.9675975,0.000006902108,0.000005733006,1.395084e-7,0.00425308,0.02408288,0.003686827,0.000007613108,0.00000763776,0.0003227163],"study_design_scores_gemma":[0.0001629387,0.0001481679,0.9558341,0.00006670835,0.00001033136,7.466895e-7,0.004199299,0.03831672,0.0007802471,0.0003818314,0.00004611105,0.00005281234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986992,0.0001853294,0.00001657902,0.0007216258,0.00002448491,0.0001247972,0.00001131452,0.000002854957,0.0002137784],"genre_scores_gemma":[0.9996937,0.000009555897,0.0001782888,0.00008487289,0.000007534588,0.000001241545,0.00001856888,9.635241e-7,0.00000530639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423384,"threshold_uncertainty_score":0.9904799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09355100968030798,"score_gpt":0.2451030952142173,"score_spread":0.1515520855339094,"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."}}