{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109425,0.0002795894,0.0003514033,0.001840742,0.0005827575,0.001172924,0.0005108287,0.0002945527,0.001633322],"category_scores_gemma":[0.004161046,0.0002986515,0.0003592931,0.00339456,0.000743677,0.0004460935,0.001101424,0.000299453,0.0002193276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516462,"about_ca_system_score_gemma":0.001768802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2173589,"about_ca_topic_score_gemma":0.3158771,"domain_scores_codex":[0.9991063,0.0003318481,0.00005738762,0.0001445959,0.0001996091,0.0001601798],"domain_scores_gemma":[0.9978332,0.0004862254,0.0008631857,0.0001758669,0.0004654633,0.0001760663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000603272,0.00002335151,0.9721692,0.0002141575,0.00006263837,0.0002489372,0.01413895,0.0001320422,0.001398826,0.0003651582,0.0003224287,0.01086404],"study_design_scores_gemma":[0.000001483441,0.00002862762,0.9907905,0.00005942273,0.00002515217,0.00007368246,0.006751868,0.0001041911,0.00009145956,0.00004364076,0.002024079,0.000005959301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948441,0.001021405,0.0001755293,0.0002420729,0.000005332249,0.00003152308,0.0006981677,0.00001382938,0.002968009],"genre_scores_gemma":[0.9983684,0.0005154825,0.0002792127,0.00002247866,0.000003706517,0.00001909916,0.0002442915,0.000003213841,0.0005440104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173589,"threshold_uncertainty_score":0.4321876,"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."}}