{"id":"W4416819025","doi":"10.36557/2674-8169.2025v7n11p2268-2285","title":"Internações Sensíveis no SUS (2010–2025): Análise Crítica dos Determinantes Estruturais na Atenção Primária","year":2025,"lang":"","type":"article","venue":"Brazilian Journal of Implantology and Health Sciences","topic":"Health, Nursing, Elderly Care","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Scope (computer science); Population","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":[0.02514717,0.0005060871,0.0008833467,0.006528701,0.0008893323,0.002705756,0.001446572,0.000882017,0.00721183],"category_scores_gemma":[0.07699303,0.0005190859,0.001948789,0.0144863,0.001504901,0.003157947,0.002484326,0.001578655,0.0006124933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003970434,"about_ca_system_score_gemma":0.009548435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06210411,"about_ca_topic_score_gemma":0.06295551,"domain_scores_codex":[0.987985,0.005179799,0.002426163,0.001191352,0.002523652,0.0006940769],"domain_scores_gemma":[0.8926015,0.05545158,0.03109623,0.003377468,0.01424578,0.003227357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006958607,0.00008579684,0.8306586,0.02029537,0.002055978,0.0001684251,0.01315493,0.0004560316,0.0001522073,0.006511611,0.01798501,0.1077802],"study_design_scores_gemma":[0.00003665399,0.0003367027,0.924185,0.01519071,0.001122541,0.0002831381,0.01003165,0.0004017463,0.0002096179,0.0009873194,0.04716864,0.00004632129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5578813,0.3131824,0.003448649,0.03571025,0.002079763,0.0004710307,0.05286818,0.0001743577,0.03418399],"genre_scores_gemma":[0.9228295,0.06192441,0.002372877,0.002369782,0.0005457476,0.0007093317,0.00722216,0.00004864156,0.001977508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06210411,"threshold_uncertainty_score":0.1329925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07458916154680159,"score_gpt":0.4437431257756514,"score_spread":0.3691539642288498,"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."}}