{"id":"W3137002645","doi":"10.5539/jms.v11n1p108","title":"Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil","year":2021,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Juiz de Fora","keywords":"Tributary; Hydrology (agriculture); Water quality; Environmental science; Turbidity; Total dissolved solids; Drainage basin; Land cover; Total suspended solids; Land use; Suspended solids; Structural basin; Environmental engineering; Geography; Geology; Wastewater; Chemical oxygen demand; Ecology; Geomorphology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001905566,0.000182859,0.0002310971,0.0005376242,0.000356035,0.0006144368,0.0002670845,0.0002072387,0.0008590623],"category_scores_gemma":[0.001063851,0.000142899,0.0002290293,0.0008549515,0.0005055609,0.0003166328,0.0007306322,0.0001410707,0.00006791465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174543,"about_ca_system_score_gemma":0.0007681048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08838654,"about_ca_topic_score_gemma":0.1965706,"domain_scores_codex":[0.999749,0.00006128057,0.00001334562,0.00006116816,0.00004908021,0.00006611882],"domain_scores_gemma":[0.9997242,0.0000626219,0.00009533294,0.00001936287,0.00004074018,0.00005767767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009814435,0.00006959423,0.9761826,0.00006884427,0.00008136623,0.0008624953,0.002639682,0.0005068859,0.004350397,0.0003475221,0.0002800211,0.01451235],"study_design_scores_gemma":[0.000001908556,0.0000256402,0.9973285,0.000008890922,0.00001050711,0.0001150761,0.001416469,0.0002795274,0.0001490571,0.00002398677,0.0006370641,0.000003444622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990911,0.0001004183,0.00003491964,0.00005790219,0.000001915177,0.000005558019,0.0001197966,0.000003131957,0.0005852673],"genre_scores_gemma":[0.9996058,0.00006894204,0.00006103664,0.00000708037,0.000001559239,0.000004115569,0.00008515967,0.00000167832,0.0001645332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08838654,"threshold_uncertainty_score":0.1757441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332836800137873,"score_gpt":0.290029922740182,"score_spread":0.2767015547388033,"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."}}