{"id":"W4402845661","doi":"10.5327/1516-3180.140s1.7301","title":"DETERMINAÇÃO DE INTERVALOS DE REFERÊNCIAS DE BIOMARCADORES DA FUNÇÃO RENAL EM PACIENTES IDOSOS","year":2022,"lang":"pt","type":"article","venue":"","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science","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":[0.009707376,0.000480183,0.0009817699,0.002359089,0.0005267923,0.001634341,0.0006637761,0.000797811,0.001534502],"category_scores_gemma":[0.02905575,0.0002839762,0.001031999,0.002518316,0.0004330893,0.0007231712,0.0008105599,0.000665221,0.0002526948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000609284,"about_ca_system_score_gemma":0.0010951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218451,"about_ca_topic_score_gemma":0.003214467,"domain_scores_codex":[0.9940229,0.002614057,0.001022072,0.0008888058,0.001198766,0.0002535415],"domain_scores_gemma":[0.9836157,0.007159819,0.005283319,0.0008169537,0.002714626,0.0004095811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00151727,0.0001475732,0.9620337,0.0006035414,0.0005006908,0.0001542708,0.00120866,0.0004846373,0.001160183,0.0002879194,0.000395075,0.03150653],"study_design_scores_gemma":[0.00006594895,0.001383116,0.9861091,0.0004414905,0.0008064279,0.0008374654,0.001988943,0.001995661,0.002653648,0.0006596413,0.00301162,0.00004710013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748575,0.01137569,0.007779793,0.0003578198,0.00009378044,0.0002235042,0.001795302,0.00009901515,0.003417548],"genre_scores_gemma":[0.9899861,0.001516591,0.006864044,0.0001082249,0.00003978755,0.0002854488,0.0007270803,0.00001472259,0.0004580179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009707376,"threshold_uncertainty_score":0.05133814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08866801046658196,"score_gpt":0.3914762581534297,"score_spread":0.3028082476868477,"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."}}