{"id":"W4399334135","doi":"10.1002/wat2.1743","title":"Water‐IQ matters as water conflicts mount","year":2024,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Kungl. Skogs- och Lantbruksakademien; Naturvårdsverket","keywords":"Mount; Psychology; 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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002483587,0.0005993265,0.0007362596,0.000340044,0.001063422,0.00125896,0.001093531,0.0001908957,0.01048069],"category_scores_gemma":[0.000006016407,0.0002939666,0.0005944463,0.0001597876,0.0006150124,0.0007862831,0.001395154,0.0004749981,0.05263319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005504835,"about_ca_system_score_gemma":0.00002654346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005355318,"about_ca_topic_score_gemma":0.0002628128,"domain_scores_codex":[0.9948841,0.0006670941,0.001021248,0.00103942,0.0007263136,0.001661834],"domain_scores_gemma":[0.9987091,0.00003254064,0.00003880549,0.0007915045,0.00005841065,0.0003695824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001654569,0.0002908378,0.0001392954,0.002710455,0.0005531869,0.001160569,0.7451438,0.00007659935,0.03701986,0.003163466,0.1808867,0.02868981],"study_design_scores_gemma":[0.0002048427,0.0001278195,0.00000993323,0.001031344,0.0001352383,0.0000325201,0.001426026,0.00002575684,0.01233847,0.003548547,0.9805246,0.0005948847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5439978,0.009936373,0.000685691,0.3008883,0.00857444,0.006126951,0.00004878106,0.002003184,0.1277384],"genre_scores_gemma":[0.913274,0.002392237,0.0001228607,0.006204302,0.001455131,0.000657253,0.0003340165,0.0001851721,0.07537507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.799638,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971693870539361,"score_gpt":0.3404390201135503,"score_spread":0.3107220814081567,"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."}}