{"id":"W4385699725","doi":"10.51161/conasc/17847","title":"O IMPACTO DA PRESENÇA FAMILIAR NO PROCESSO DE RECUPERAÇÃO DO PACIENTE CIRÚRGICO, DO DIAGNÓSTICO ATÉ A ALTA HOSPITALAR","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":"Domtar (Canada)","funders":"","keywords":"Computer science; Medicine","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":[0.003154768,0.0002283499,0.0003870134,0.001073469,0.001627808,0.003359702,0.0005326102,0.001043498,0.01410173],"category_scores_gemma":[0.02929509,0.0002510419,0.0005672038,0.0009571438,0.001351277,0.002167365,0.001783447,0.001060054,0.001061943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583055,"about_ca_system_score_gemma":0.003241841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009734564,"about_ca_topic_score_gemma":0.01518631,"domain_scores_codex":[0.9966255,0.001415596,0.0002713791,0.0003519567,0.0008970415,0.0004385996],"domain_scores_gemma":[0.9755344,0.01104942,0.0061731,0.0007586995,0.00392585,0.002558581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009219456,0.0005701199,0.7600774,0.001794546,0.0003406341,0.00443954,0.02465169,0.0003003966,0.003065246,0.003483808,0.008280301,0.1920743],"study_design_scores_gemma":[0.0000435209,0.001308102,0.904476,0.001647404,0.000383569,0.006995549,0.04202105,0.0003266562,0.001768486,0.003074798,0.03784296,0.0001120117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923591,0.02273647,0.002269701,0.01997959,0.0004962913,0.00009060033,0.0005486425,0.0001082784,0.03017942],"genre_scores_gemma":[0.986869,0.007467536,0.001022411,0.0009405132,0.000286588,0.0000252747,0.0001183258,0.00001847268,0.003251845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410173,"threshold_uncertainty_score":0.04717505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05878865980038854,"score_gpt":0.4192225160770564,"score_spread":0.3604338562766679,"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."}}