{"id":"W4406039268","doi":"10.5376/ijccr.2024.14.0013","title":"From Genomic Data to Personalized Medical Decisions: Challenges and Opportunities","year":2024,"lang":"en","type":"article","venue":"International Journal of Clinical Case Reports","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Personalized medicine; Data science; Business; Computer science; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.06129831,0.00160374,0.004072191,0.005276352,0.001863294,0.01723591,0.007134337,0.009360646,0.009068649],"category_scores_gemma":[0.1423006,0.001627472,0.001948916,0.004971785,0.007587119,0.02611485,0.009783553,0.01849224,0.002832092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003196934,"about_ca_system_score_gemma":0.008509831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004116154,"about_ca_topic_score_gemma":0.004691514,"domain_scores_codex":[0.9766485,0.01541624,0.001396564,0.001982852,0.00377907,0.000776771],"domain_scores_gemma":[0.7049296,0.2647022,0.004618462,0.008325295,0.01258437,0.004840063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008256377,0.00079318,0.02129055,0.004897733,0.0009570718,0.001554267,0.002785762,0.01199274,0.001243886,0.1465673,0.126891,0.6802009],"study_design_scores_gemma":[0.0001081649,0.0001315117,0.002020499,0.002898207,0.0001800343,0.0009861795,0.003586028,0.01761249,0.0005275734,0.9010153,0.07078146,0.0001526684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009402975,0.1336893,0.102678,0.7408788,0.002849211,0.0001635752,0.002114492,0.0005582127,0.007665393],"genre_scores_gemma":[0.3387465,0.2282708,0.3144836,0.08295574,0.02681479,0.0007300164,0.004558078,0.0004887905,0.002951608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06129831,"threshold_uncertainty_score":0.3241803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3082487402939853,"score_gpt":0.4829527627803913,"score_spread":0.174704022486406,"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."}}