{"id":"W4409516480","doi":"10.3389/fpubh.2025.1425990","title":"The current stage of Italy in the implementation of genomics into the National Healthcare System: an application of the B1MG maturity level model","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, British Columbia","keywords":"Maturity (psychological); Health care; Computer science; Healthcare system; Genomics; Stage (stratigraphy); Capability Maturity Model; Current (fluid); Data science; Biology; Engineering; Genome; Psychology; Political science; Genetics","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":[0.03605993,0.0004199483,0.0003463753,0.003218323,0.001189423,0.004944372,0.001014652,0.001147769,0.002087483],"category_scores_gemma":[0.02901433,0.0003174752,0.0009019919,0.003126021,0.002039695,0.003474174,0.004419943,0.001504245,0.0004712511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01162233,"about_ca_system_score_gemma":0.01280798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009864763,"about_ca_topic_score_gemma":0.008189591,"domain_scores_codex":[0.9832003,0.009447686,0.001024705,0.0008172393,0.003758516,0.00175151],"domain_scores_gemma":[0.9761739,0.009224462,0.004392816,0.001203086,0.006194222,0.00281152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003821936,0.0003815527,0.5809516,0.00152849,0.0001500899,0.000442858,0.07642212,0.004633004,0.002058989,0.06575059,0.01973859,0.24756],"study_design_scores_gemma":[0.00006305646,0.0009697529,0.7620664,0.00397771,0.0001654054,0.0006697149,0.07635697,0.02135145,0.002346523,0.03278102,0.09903844,0.0002134237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7967781,0.003311973,0.0406139,0.04419351,0.0002412642,0.001343603,0.00106306,0.0002591793,0.1121953],"genre_scores_gemma":[0.9762737,0.0006473154,0.02048457,0.0007435952,0.00002936296,0.0002739973,0.0004822782,0.00002164057,0.001043631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03605993,"threshold_uncertainty_score":0.1907054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816193829522252,"score_gpt":0.3436250709099015,"score_spread":0.315463132614679,"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."}}