{"id":"W4384296941","doi":"10.21170/geonorte.2023.v.14.n.44.170.184","title":"CARACTERIZAÇÃO DO ABASTECIMENTO DE ÁGUA DOS MUNICÍPIOS DA CALHA DO RIO NEGRO COM BASE EM DADOS PÚBLICOS","year":2023,"lang":"pt","type":"article","venue":"Revista Geonorte","topic":"Environmental Sustainability and Education","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geography; Per capita; Humanities; Biology; Population; Medicine; Art; Environmental health","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001554109,0.0007666324,0.0006954843,0.0001975314,0.0008454191,0.0009046707,0.001114604,0.0003694199,0.00873669],"category_scores_gemma":[0.0002095146,0.0008289515,0.0003963719,0.001299097,0.000518929,0.0008622988,0.001163118,0.0007573346,0.007323927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003288281,"about_ca_system_score_gemma":0.0001773209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535149,"about_ca_topic_score_gemma":0.0001412125,"domain_scores_codex":[0.9942614,0.0006161596,0.00103983,0.001476491,0.0009074763,0.001698624],"domain_scores_gemma":[0.9963214,0.0002571063,0.0004360897,0.002062628,0.00002384459,0.00089893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003393218,0.002795413,0.5774651,0.002105449,0.0003452595,0.0005483041,0.03794638,0.003909414,0.02666534,0.0008827153,0.02480074,0.3221966],"study_design_scores_gemma":[0.001464972,0.0004328504,0.6722103,0.0005130063,0.0003958242,0.00007066073,0.02246573,0.008956701,0.0008128298,0.0003202892,0.2904481,0.001908741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927959,0.000962053,0.0002991515,0.002363286,0.0004896372,0.001828562,0.000305938,0.0001928206,0.0007626361],"genre_scores_gemma":[0.9787319,0.001340073,0.0001018017,0.0006589781,0.0001433281,0.0002167907,0.000429383,0.00011308,0.01826471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3202879,"threshold_uncertainty_score":0.9994161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776350590473686,"score_gpt":0.2657722443324831,"score_spread":0.2480087384277463,"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."}}