{"id":"W4385489390","doi":"10.59306/rgsa.v12e12023e18295","title":"AVALIAÇÃO DOS IMPACTOS AMBIENTAIS NO RIO CORRENTE/PI, AO LONGO DO PERÍMETO URBANO","year":2023,"lang":"pt","type":"article","venue":"Revista Gestão & Sustentabilidade Ambiental","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Physics","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":[0.0006939215,0.0004174879,0.0005699774,0.001075409,0.001164724,0.001944357,0.0007130661,0.0006392274,0.004173378],"category_scores_gemma":[0.001548375,0.0002806527,0.0006757086,0.001831499,0.001045562,0.0008384119,0.001250894,0.0005994596,0.0006398948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428439,"about_ca_system_score_gemma":0.00180372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03466126,"about_ca_topic_score_gemma":0.08039802,"domain_scores_codex":[0.9992229,0.0001435877,0.000029667,0.0001936942,0.0003009104,0.0001092327],"domain_scores_gemma":[0.9990988,0.0002519595,0.000182196,0.00007873428,0.0003173818,0.0000708882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208851,0.000432076,0.6567863,0.003106906,0.0004931269,0.002346699,0.01933742,0.01602686,0.08000094,0.007950858,0.006188769,0.2061213],"study_design_scores_gemma":[0.00001258926,0.0007335498,0.9376293,0.000209306,0.0002125944,0.000321151,0.0126213,0.003042832,0.008737277,0.001871517,0.03452562,0.00008284118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613512,0.001339746,0.004829037,0.0004088756,0.00006395433,0.00014076,0.002129069,0.0001877897,0.02954971],"genre_scores_gemma":[0.9900392,0.001007483,0.00317062,0.00007051992,0.00002027776,0.0001295117,0.0005668892,0.00003940627,0.004956135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466126,"threshold_uncertainty_score":0.068919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527616763936521,"score_gpt":0.243977073864101,"score_spread":0.2287009062247358,"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."}}