{"id":"W4406788928","doi":"10.1097/md.0000000000039478","title":"Proceedings of the 27th Annual Meeting of the Portuguese Society of Human Genetics (SPGH – Sociedade Portuguesa de Genética Humana) Lisbon, 23 -25 November 2023","year":2025,"lang":"en","type":"article","venue":"Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NUTRIM School of Nutrition and Translational Research in Metabolism; Fundação para a Ciência e a Tecnologia; Instituto Português de Oncologia do Porto; Centre hospitalier universitaire Sainte-Justine; Universidade do Minho; Instituto Politécnico do Porto; Universidade do Porto; Ministério da Ciência, Tecnologia e Ensino Superior; Ministerio de Economía y Competitividad; Universiteit Maastricht; Indian National Science Academy","keywords":"Medicine; Portuguese; Gerontology; Humanities","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003236109,0.0009376282,0.0007717774,0.0011163,0.001197131,0.003725471,0.0008789712,0.002064515,0.1960629],"category_scores_gemma":[0.004004898,0.0003219761,0.0006224597,0.0007182806,0.0007872022,0.001308261,0.00201836,0.002671875,0.09538358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006654,"about_ca_system_score_gemma":0.003238479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589909,"about_ca_topic_score_gemma":0.008239514,"domain_scores_codex":[0.9987015,0.0003886885,0.00009527202,0.0001956972,0.000421001,0.0001978928],"domain_scores_gemma":[0.9972509,0.0003652998,0.0001446919,0.0001135972,0.001015907,0.001109604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000118715,0.00003042541,0.0005417534,0.0002433948,0.00001164711,0.0002244518,0.000130623,0.00004273894,0.0005091492,0.0006014978,0.9473735,0.05017204],"study_design_scores_gemma":[0.000009475705,0.00001829361,0.001398994,0.0002617535,0.000004300414,0.0002471468,0.0001746863,0.00003441222,0.0001115638,0.0002646065,0.9974673,0.000007592299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006528294,0.06465948,0.007255549,0.09175301,0.3477044,0.0006900295,0.006282481,0.0009254517,0.4742013],"genre_scores_gemma":[0.01417607,0.02638672,0.003448576,0.01165024,0.0306679,0.0004150501,0.003595694,0.0007039983,0.9089558],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1960629,"threshold_uncertainty_score":0.6558958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009136975133518539,"score_gpt":0.2669251753019939,"score_spread":0.2577882001684754,"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."}}