{"id":"W4386177668","doi":"10.52766/myun6474","title":"Estrategias de implementación de la medicina personalizada de precisión en otros sistemas sanitarios públicos internacionales. Estado del arte.","year":2023,"lang":"es","type":"book","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Alliance Nationale pour les Sciences de la Vie et de la Santé","keywords":"Humanities; Cartography; Political science; Art; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02328121,0.0008205906,0.0007464411,0.00250596,0.002197553,0.006837538,0.002308438,0.003621456,0.0232442],"category_scores_gemma":[0.04142284,0.0006084672,0.001585069,0.002482285,0.002634323,0.003547842,0.005282314,0.003431104,0.004732177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009229305,"about_ca_system_score_gemma":0.03056469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02918926,"about_ca_topic_score_gemma":0.03424778,"domain_scores_codex":[0.97753,0.01412782,0.001057262,0.001347863,0.004628555,0.001308489],"domain_scores_gemma":[0.965971,0.01801415,0.003438984,0.002321686,0.007777918,0.002476271],"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":[0.0007257493,0.0005632181,0.0168187,0.01023061,0.0002412684,0.0004551077,0.01345595,0.001518193,0.00242241,0.06357333,0.08573689,0.8042585],"study_design_scores_gemma":[0.0002331893,0.0009939608,0.02904573,0.01905255,0.0004475939,0.0005545764,0.006945003,0.001198654,0.002679935,0.02399145,0.9147176,0.0001397548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06188876,0.191879,0.08162417,0.2842059,0.006572757,0.003327941,0.004474221,0.004333393,0.3616938],"genre_scores_gemma":[0.6201873,0.1211005,0.1161287,0.04560307,0.002305395,0.004090717,0.002663476,0.0008230533,0.08709776],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02918926,"threshold_uncertainty_score":0.1231242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125727587949951,"score_gpt":0.293814902557334,"score_spread":0.2825576266778345,"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."}}