{"id":"W7015457620","doi":"","title":"SITUAÇÃO DE CORPOS HÍDRICOS EM BACIAS HIDROGRÁFICAS DO RIO GRANDE DO SUL SOB A PERSPECTIVA DO ÍNDICE DE CONFORMIDADE AO ENQUADRAMENTO (ICE)","year":2024,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008384954,0.0003753184,0.0004079717,0.00192965,0.001135229,0.001835898,0.0006169195,0.0004574772,0.001825502],"category_scores_gemma":[0.001820011,0.0003463411,0.00036781,0.003226701,0.001565075,0.0007052849,0.001221547,0.0003383821,0.0002960949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858202,"about_ca_system_score_gemma":0.002352072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3210298,"about_ca_topic_score_gemma":0.4969453,"domain_scores_codex":[0.9989242,0.0001217134,0.00006050062,0.0002348243,0.0004818925,0.0001767992],"domain_scores_gemma":[0.9984352,0.000175971,0.0004245618,0.00008206435,0.0007861647,0.00009605573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002148618,0.00002819712,0.9188453,0.0004756995,0.0001128712,0.0007060873,0.02042941,0.0004450004,0.03084179,0.001078877,0.0006809338,0.02614099],"study_design_scores_gemma":[0.000002927913,0.00009706686,0.973216,0.00006599089,0.00005136936,0.000150622,0.01675293,0.0002083638,0.002537437,0.0001262642,0.006769784,0.00002133761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877687,0.0008473754,0.0007551045,0.0002063482,0.00001127475,0.00005884638,0.0009080292,0.00002551488,0.009418817],"genre_scores_gemma":[0.9955481,0.0005878769,0.001273976,0.00005173294,0.000005363072,0.00003032236,0.00046862,0.000006565298,0.002027559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3210298,"threshold_uncertainty_score":0.6383224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335814518403364,"score_gpt":0.4799157580257531,"score_spread":0.3463343061854167,"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."}}