{"id":"W4389071214","doi":"10.36692/v15n3-33r","title":"THE INTERACTION BETWEEN ADVANCED TECHNOLOGIES AND THE BIOMEDICAL IN THE TREATMENT OF GENETIC DISEASES: A BIBLIOGRAPHIC REVIEW","year":2023,"lang":"en","type":"review","venue":"Revista CPAQV - Centro de Pesquisas Avançadas em Qualidade de Vida","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Biomedicine; Context (archaeology); Genome editing; CRISPR; Biomedical technology; Personalized medicine; Precision medicine; Emerging technologies; Engineering ethics; Medicine; Biotechnology; Data science; Bioinformatics; Computer science; Biology; Engineering; Genetics; Gene; Pathology; Artificial intelligence","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":[0.0017794,0.0006821293,0.001093313,0.02824157,0.0009695357,0.003697099,0.0006596941,0.0009526372,0.008911872],"category_scores_gemma":[0.008481638,0.0002687699,0.0008066434,0.03631087,0.00109864,0.002723069,0.001038833,0.0008061281,0.001657387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984232,"about_ca_system_score_gemma":0.005834183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771241,"about_ca_topic_score_gemma":0.005947067,"domain_scores_codex":[0.9980623,0.0004707532,0.0004838154,0.0001497803,0.0007601344,0.00007325882],"domain_scores_gemma":[0.99027,0.00682993,0.0009111399,0.0001488608,0.00169198,0.0001480559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009041572,0.00006613479,0.002320851,0.1554375,0.0002861421,0.0008117789,0.002313392,0.0003134346,0.001238049,0.0152612,0.05331609,0.7685451],"study_design_scores_gemma":[0.00001132375,0.00006245057,0.007447819,0.1149451,0.0008082202,0.002287374,0.002228223,0.0001545773,0.000570605,0.004331712,0.8671075,0.00004501013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001078701,0.9861245,0.0005375973,0.002026956,0.0006585461,0.00005626816,0.0003653861,0.0000249843,0.009127085],"genre_scores_gemma":[0.005118391,0.9917375,0.0008551427,0.0004255964,0.0004089351,0.00004717372,0.0002571144,0.00001006617,0.001140021],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02824157,"threshold_uncertainty_score":0.02981323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286435230235142,"score_gpt":0.3603758721768638,"score_spread":0.3275115198745124,"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."}}