{"id":"W4382809957","doi":"10.34117/bjdv9n6-029","title":"Estimativa do volume de microrreservatórios de detenção para amenização dos alagamentos no Município de Santo Estevão – BA","year":2023,"lang":"pt","type":"article","venue":"Brazilian Journal of Development","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545657,0.0003939876,0.0002984722,0.00127497,0.0002820026,0.0009501622,0.0004060674,0.0006700768,0.001952524],"category_scores_gemma":[0.0009997655,0.0002634572,0.0006503522,0.001276306,0.0002348065,0.000429337,0.0005226189,0.0002736538,0.0007902423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198829,"about_ca_system_score_gemma":0.0007929014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02908074,"about_ca_topic_score_gemma":0.04973001,"domain_scores_codex":[0.9995313,0.0000987677,0.00002323971,0.000126197,0.0001343746,0.00008613744],"domain_scores_gemma":[0.9992211,0.0002100891,0.0001630484,0.00006210507,0.0002663276,0.00007731726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003344705,0.00009156,0.9311459,0.000258221,0.0001590575,0.0002785824,0.001020281,0.005869217,0.02143583,0.0004229014,0.001214108,0.03776975],"study_design_scores_gemma":[0.000008605813,0.0002081378,0.9739997,0.00004613678,0.00008695551,0.0001606257,0.002430962,0.009312547,0.003890687,0.0002196646,0.009610739,0.00002509385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894246,0.0006814717,0.001745056,0.000165964,0.00001849901,0.00004914832,0.002182336,0.00009354077,0.005639391],"genre_scores_gemma":[0.9910529,0.0004586144,0.002068109,0.00003608865,0.000009997733,0.00005645642,0.001520865,0.00001691534,0.00478011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02908074,"threshold_uncertainty_score":0.05782294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420856326856688,"score_gpt":0.2662609927865044,"score_spread":0.2420524295179376,"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."}}