{"id":"W4380569055","doi":"10.51161/epidemion2023/19202","title":"NÚMERO DE INTERNAÇÕES E VALOR DOS SERVIÇOS HOSPITALARES DESTINADOS AO ALZHEIMER NO BRASIL","year":2023,"lang":"pt","type":"article","venue":"","topic":"Health, Nursing, Elderly Care","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alzheimer Society of Canada","funders":"","keywords":"Computer science; Mathematics","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":[0.0004077274,0.0001375712,0.0002494919,0.001248433,0.0004055007,0.0005117565,0.0002173576,0.0002934817,0.00272302],"category_scores_gemma":[0.002118175,0.0002526741,0.0002875156,0.001454419,0.0003758477,0.0003325583,0.0004742332,0.0002966252,0.0002853402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654192,"about_ca_system_score_gemma":0.001076531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1507139,"about_ca_topic_score_gemma":0.1914298,"domain_scores_codex":[0.9997063,0.00005122319,0.00003409871,0.00005636421,0.00006756897,0.00008446024],"domain_scores_gemma":[0.9989078,0.0001857981,0.0004127556,0.00009713475,0.0001711449,0.0002254111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006690681,0.00003606345,0.9865149,0.0001082356,0.00002996393,0.00008899457,0.001024987,0.00005777213,0.0002816065,0.0003936091,0.0005079554,0.01088916],"study_design_scores_gemma":[0.000004513121,0.00003384379,0.9976078,0.00007584131,0.0000310771,0.0002353921,0.0007975326,0.0001265161,0.00004036885,0.00008286262,0.0009596804,0.00000453043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926208,0.00174217,0.00005660989,0.0002572748,0.000008740649,0.00001120611,0.0009449386,0.00001559557,0.00434252],"genre_scores_gemma":[0.9975637,0.00145778,0.00009438393,0.00003432753,0.000007534864,0.000006487776,0.0002219027,0.000002509087,0.0006113461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507139,"threshold_uncertainty_score":0.2996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09687540028871719,"score_gpt":0.4276109028713156,"score_spread":0.3307355025825984,"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."}}