{"id":"W4313055392","doi":"10.36926/editorainovar-978-65-5388-087-0_007","title":"DESAFIOS DA EQUIPE DE ENFERMAGEM CIRÚRGICA FRENTE À PANDEMIA DE COVID-19: UMA REVISÃO INTEGRATIVA","year":2022,"lang":"pt","type":"book-chapter","venue":"","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005548449,0.002208197,0.002307181,0.001356904,0.002002581,0.001051018,0.007224148,0.001766656,0.02205159],"category_scores_gemma":[0.003129025,0.00224711,0.001187136,0.0008016675,0.0006639247,0.0009043339,0.005071584,0.006517068,0.001211599],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01072075,"about_ca_system_score_gemma":0.017247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005802493,"about_ca_topic_score_gemma":0.0006005934,"domain_scores_codex":[0.9856475,0.001932104,0.002780212,0.003900199,0.002327558,0.00341244],"domain_scores_gemma":[0.9861242,0.003157362,0.001465181,0.004445321,0.0004375306,0.004370396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002690768,0.000228833,0.005161946,0.003021189,0.0007071471,0.00506337,0.009621458,0.0007929521,0.00040966,0.8631091,0.05445761,0.05715762],"study_design_scores_gemma":[0.00173229,0.0006453452,0.000334945,0.001136498,0.0002408072,0.001551528,0.0002445593,0.03251264,0.0000918343,0.01649012,0.9423481,0.002671285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0006069749,0.003318792,0.7194467,0.02389264,0.002177942,0.003242259,0.0003791583,0.002491837,0.2444437],"genre_scores_gemma":[0.229734,0.01213152,0.04432299,0.1469889,0.002629454,0.001009623,0.0005925094,0.001075557,0.5615155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8878905,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142721685338197,"score_gpt":0.383747380367996,"score_spread":0.241025695029799,"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."}}