{"id":"W1996018851","doi":"10.1590/s0100-67622011000500018","title":"Análise das caracteristicas quantitativas e qualitativas da microbacia do córrego barreiro, afluente do Rio Uberaba","year":2011,"lang":"pt","type":"article","venue":"Revista Árvore","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Geography; Art","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":[0.0004081295,0.0004288324,0.000607649,0.003128399,0.0006961106,0.001358433,0.0004208215,0.0005631915,0.001399473],"category_scores_gemma":[0.0007630864,0.0003439272,0.0004777441,0.004798128,0.000584678,0.0005267193,0.0005323183,0.000354312,0.0005880806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009006741,"about_ca_system_score_gemma":0.0006340517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06610446,"about_ca_topic_score_gemma":0.1306351,"domain_scores_codex":[0.9994943,0.00004495927,0.00002845517,0.0001456062,0.0002130589,0.00007358493],"domain_scores_gemma":[0.999512,0.00008329424,0.00009577403,0.00002513806,0.0002479612,0.00003580019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004079105,0.00009011645,0.7291238,0.001137689,0.0002466738,0.0005419661,0.004291105,0.003365261,0.1904316,0.0007163227,0.0007306519,0.06891701],"study_design_scores_gemma":[0.000003073258,0.0001268169,0.9805046,0.00003362448,0.00006640526,0.0001874852,0.002369117,0.00199866,0.00889432,0.0001507623,0.005641383,0.00002380286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852936,0.001058652,0.004104369,0.0001023637,0.00001475715,0.00006281652,0.002263563,0.0001220524,0.00697787],"genre_scores_gemma":[0.9851168,0.0006939571,0.007842751,0.000030412,0.000008736189,0.00006991181,0.001489716,0.00003756996,0.004710242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06610446,"threshold_uncertainty_score":0.1314394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05061520620584855,"score_gpt":0.3009568583681953,"score_spread":0.2503416521623468,"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."}}