{"id":"W4387925661","doi":"10.55449/congea.14.23.xi-023","title":"A INFLUÊNCIA DA CONTAMINAÇÃO DO CEMITÉRIO DE HUMAITÁ/AM EM ÁREAS ADJACENTES","year":2023,"lang":"pt","type":"article","venue":"Anais Congresso Brasileiro de Gestão Ambiental","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Environmental science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009818105,0.00120494,0.0009913923,0.0003728551,0.001682865,0.0005351705,0.001346908,0.0006052841,0.003690944],"category_scores_gemma":[0.0001879072,0.001302524,0.0006469829,0.00167241,0.001896905,0.0007520504,0.001991379,0.0009523869,0.007281654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139368,"about_ca_system_score_gemma":0.00006778911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369942,"about_ca_topic_score_gemma":0.003057523,"domain_scores_codex":[0.9924526,0.0004238402,0.0009881929,0.001755208,0.00139945,0.002980725],"domain_scores_gemma":[0.9970251,0.0003480019,0.0004751615,0.001068569,0.00002697065,0.001056189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001648207,0.0006283956,0.9458287,0.0000919111,0.0003382514,0.0007289445,0.007816584,0.0003722466,0.007661404,0.00007846909,0.02432815,0.01196208],"study_design_scores_gemma":[0.002185242,0.0005949119,0.9698805,0.0003028926,0.0002661858,0.0001612664,0.01504932,0.0007008064,0.002275509,0.000156314,0.007077291,0.001349787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989842,0.002710453,0.00002472642,0.0003775361,0.001032838,0.0009552789,0.000611406,0.0004285127,0.004017232],"genre_scores_gemma":[0.991093,0.002643301,0.00009606354,0.001020826,0.0002261603,0.0002136321,0.0001947604,0.000154776,0.0043575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02405173,"threshold_uncertainty_score":0.9996168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968450716692129,"score_gpt":0.2557648551073463,"score_spread":0.236080347940425,"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."}}