{"id":"W4319350390","doi":"10.22456/1982-0003.129906","title":"O IMPACTO DO USO DA TERRA SOBRE O BALANÇO HÍDRICO NA BACIA HIDROGRÁFICA DO RIO SANTA MARIA – OESTE DO RIO GRANDE DO SUL – BRASIL","year":2023,"lang":"pt","type":"article","venue":"Para Onde!?","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Geography; Environmental science; Forestry","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":[0.0002433839,0.0002790387,0.0002816804,0.0006348054,0.0005688678,0.001251484,0.0003063681,0.0003098258,0.001956129],"category_scores_gemma":[0.0008949724,0.0002201216,0.0003402053,0.001414714,0.0006864357,0.0004076124,0.0005572755,0.0002212385,0.0002175417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683,"about_ca_system_score_gemma":0.001284676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3203385,"about_ca_topic_score_gemma":0.5378725,"domain_scores_codex":[0.9997118,0.00005012122,0.00001426513,0.00007637414,0.00009030005,0.00005704366],"domain_scores_gemma":[0.9996889,0.00006809682,0.00004866628,0.00003002646,0.0001319675,0.00003249283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000304077,0.00005468281,0.8359839,0.0007752647,0.0003046546,0.001114756,0.00415108,0.009053154,0.05982235,0.003323028,0.001857624,0.08325547],"study_design_scores_gemma":[0.000007675793,0.00006232683,0.9797901,0.00008246772,0.0001208192,0.0001547013,0.002564285,0.003294317,0.002671627,0.0002914753,0.01093925,0.00002103028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867805,0.0008272795,0.000760633,0.0002025464,0.0000120212,0.00002111423,0.0005589161,0.00006819471,0.0107689],"genre_scores_gemma":[0.9977938,0.0004326392,0.0004565993,0.000019811,0.000002076067,0.000008637089,0.0001759866,0.00001195845,0.001098601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3203385,"threshold_uncertainty_score":0.6369478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778586477860064,"score_gpt":0.282222148825484,"score_spread":0.2344362840468834,"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."}}