{"id":"W45986926","doi":"","title":"Caracterização hidrológica e hidrogeoquímica do Parque Estadual do Itacolomi - Ouro Preto, MG.","year":2008,"lang":"pt","type":"article","venue":"","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Groundwater; Hydrology (agriculture); Geology; Permeameter; Environmental science; Mineralogy; Hydraulic conductivity; Soil water; Soil science; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788981,0.0003242306,0.0001982511,0.00184935,0.0006718833,0.0008836486,0.0004047048,0.0003514889,0.001925962],"category_scores_gemma":[0.0004203024,0.0002437871,0.0001941902,0.001973482,0.0003915017,0.000296462,0.0004956177,0.0002329128,0.0004160744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334678,"about_ca_system_score_gemma":0.000856366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205219,"about_ca_topic_score_gemma":0.2802679,"domain_scores_codex":[0.9998168,0.00001838203,0.000006740307,0.00004866777,0.00005148902,0.00005787621],"domain_scores_gemma":[0.9998357,0.00002009398,0.00006023483,0.0000112564,0.00005926344,0.00001342052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001480285,0.00009711883,0.9241384,0.000341887,0.0001044792,0.001400021,0.004077911,0.0003724288,0.01832873,0.0006282048,0.001642369,0.04872048],"study_design_scores_gemma":[0.000002388211,0.00003411482,0.9866953,0.00003219716,0.00002733324,0.0003689239,0.001411609,0.0002381091,0.0011435,0.00007039665,0.009969982,0.000006235831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901592,0.001427257,0.0005364211,0.0001056347,0.00002172613,0.00004098445,0.001113302,0.0000348187,0.006560655],"genre_scores_gemma":[0.9928823,0.001089294,0.001604628,0.0000451519,0.00001875696,0.000043708,0.000902939,0.00001236243,0.003400936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1205219,"threshold_uncertainty_score":0.2396408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534711606096266,"score_gpt":0.2043190513760035,"score_spread":0.1889719353150408,"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."}}