{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001338806,0.002169011,0.001892652,0.0005613832,0.001965794,0.00117312,0.002035402,0.0006570212,0.02316134],"category_scores_gemma":[0.0002376998,0.002127566,0.002049582,0.003432901,0.00239762,0.001325431,0.003685138,0.0014533,0.05994447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002328516,"about_ca_system_score_gemma":0.00006783522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230095,"about_ca_topic_score_gemma":0.0002777811,"domain_scores_codex":[0.9869384,0.0006985847,0.002158398,0.003409117,0.002938197,0.003857364],"domain_scores_gemma":[0.994741,0.0003474542,0.0008437608,0.002359166,0.00006744589,0.001641157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003904902,0.001801223,0.8919669,0.0005805677,0.0004833054,0.0004192608,0.004466637,0.0004618118,0.01179444,0.00005178117,0.08239077,0.005192784],"study_design_scores_gemma":[0.003311578,0.0015536,0.8633723,0.0006405903,0.0007867958,0.0002521663,0.02302283,0.0007959564,0.0008703041,0.00002951751,0.1024262,0.002938211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823415,0.004244055,0.0000178551,0.0007218021,0.003003757,0.00322548,0.001277895,0.0006130774,0.00455458],"genre_scores_gemma":[0.9693776,0.004063199,0.00005876839,0.000520907,0.0004378084,0.0003098998,0.0006362413,0.0002985362,0.02429707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03678313,"threshold_uncertainty_score":0.9998637,"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."}}