{"id":"W3133661730","doi":"","title":"GESTÃO INTEGRADA DE RECURSOS HÍDRICOS: UMA REVISÃO INTEGRATIVA","year":2018,"lang":"pt","type":"article","venue":"Anais do Congresso Internacional de Conhecimento e Inovação – ciki","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Legislation; Geography; Water resources; Environmental protection; Water resource management; SciELO; Political science; Environmental planning; Environmental science; Archaeology; Law; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.003008608,0.00135344,0.001291655,0.0008897334,0.001395838,0.002298587,0.003638388,0.0007525666,0.0115962],"category_scores_gemma":[0.0006621067,0.001328915,0.0008312151,0.00138871,0.002950004,0.0009424042,0.0009491338,0.001627277,0.002933205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002683797,"about_ca_system_score_gemma":0.0009391509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009485247,"about_ca_topic_score_gemma":0.01058745,"domain_scores_codex":[0.9898807,0.001508765,0.00180721,0.001941961,0.002166024,0.002695287],"domain_scores_gemma":[0.9947814,0.0004990276,0.0009426425,0.00142133,0.001203438,0.001152157],"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":[0.001721062,0.002078172,0.08862125,0.0004923602,0.004523075,0.001298836,0.1952266,0.00001776868,0.001869958,0.1804254,0.4003268,0.1233986],"study_design_scores_gemma":[0.00224285,0.001266805,0.00615743,0.002741956,0.0004594091,0.0001005407,0.01988709,0.001156723,0.002593469,0.004409297,0.9572586,0.001725773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8369784,0.006725832,0.01029868,0.03410658,0.008576697,0.003420491,0.0005220133,0.0008534841,0.09851779],"genre_scores_gemma":[0.9484394,0.001025353,0.0005550575,0.004918719,0.002047662,0.0001313735,0.00008075935,0.0001874805,0.04261425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5569318,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411658536001247,"score_gpt":0.3430767537040568,"score_spread":0.3019109001039321,"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."}}