{"id":"W2052692931","doi":"10.1038/ejhg.2012.218","title":"Prioritising risk pathways of complex human diseases based on functional profiling","year":2012,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Biological Sciences","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Natural Science Foundation of China","keywords":"Computational biology; Profiling (computer programming); Biology; Bioinformatics; Genetics; Computer science","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":[0.001070142,0.0009453762,0.0008485011,0.005001378,0.0003455594,0.001445482,0.0006151698,0.0007344231,0.00271402],"category_scores_gemma":[0.00373839,0.0002306103,0.001514364,0.001944732,0.0002351058,0.0005103386,0.0006771042,0.0006544088,0.0004436217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003643354,"about_ca_system_score_gemma":0.0009060507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183898,"about_ca_topic_score_gemma":0.00235893,"domain_scores_codex":[0.9994152,0.000189751,0.00005416068,0.0001721246,0.0001016294,0.00006714337],"domain_scores_gemma":[0.9966503,0.002206923,0.0005632381,0.0001192394,0.0002024517,0.0002578303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004264094,0.0004815048,0.7349506,0.001055729,0.002424791,0.003957224,0.0002164363,0.0365127,0.06314542,0.006014671,0.003384728,0.1435921],"study_design_scores_gemma":[0.000518294,0.001141468,0.5774431,0.0003005486,0.005735015,0.008182736,0.000677088,0.3027257,0.03324304,0.05773114,0.01214444,0.000157415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926368,0.004182904,0.058291,0.001528694,0.00006646555,0.0001428047,0.006816858,0.0006402602,0.001962972],"genre_scores_gemma":[0.9760081,0.0008691899,0.01936864,0.0001282461,0.00006236689,0.00003775102,0.003078999,0.00003767593,0.0004090889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005001378,"threshold_uncertainty_score":0.009079278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258964000997939,"score_gpt":0.2464976575472634,"score_spread":0.2139080175372841,"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."}}