{"id":"W2971269895","doi":"10.11606/d.18.2019.tde-22052019-101145","title":"Socio Hydrological Observatory for Water Security: conceptualization and study case in São Carlos, Brazil","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Warwick","keywords":"Water security; Work (physics); Context (archaeology); Citizen journalism; Geography; Population; Environmental planning; Conceptualization; Environmental resource management; Water resources; Political science; Environmental science; Engineering; Computer science; Sociology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009082404,0.0002347537,0.000144945,0.001015985,0.002039125,0.001697283,0.0005703812,0.001022095,0.002552149],"category_scores_gemma":[0.001687384,0.000138772,0.0002746958,0.001505157,0.002236001,0.001314562,0.001987997,0.0005219805,0.0001139154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005373722,"about_ca_system_score_gemma":0.003919447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09931709,"about_ca_topic_score_gemma":0.1216524,"domain_scores_codex":[0.9993789,0.0003109912,0.00002269436,0.00006834149,0.0001024993,0.0001166141],"domain_scores_gemma":[0.9993037,0.0003562778,0.00009820914,0.00004071295,0.00008153154,0.0001196998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001633851,0.0003315442,0.2361155,0.0006431916,0.00007199178,0.02478986,0.1610348,0.02485438,0.005502929,0.4732611,0.009981104,0.06325006],"study_design_scores_gemma":[0.00005555011,0.000282577,0.2609171,0.001246717,0.0001088439,0.004175988,0.369978,0.06681468,0.001931772,0.06581057,0.2285244,0.0001537726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161973,0.0005433255,0.008172153,0.005409132,0.00003857494,0.0002864393,0.000803512,0.00004858759,0.06850103],"genre_scores_gemma":[0.9961863,0.0002009821,0.001248284,0.00006552166,0.000006651524,0.00005522268,0.0001144148,0.000004549887,0.002118075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09931709,"threshold_uncertainty_score":0.197478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411540885160114,"score_gpt":0.2423920115401405,"score_spread":0.2282766026885393,"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."}}