{"id":"W1521652389","doi":"10.1186/1471-2156-6-45","title":"G2D: a tool for mining genes associated with disease","year":2005,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics","funders":"European Molecular Biology Laboratory","keywords":"Gene; Genetics; Human genome; Genome; Candidate gene; Biology; Computational biology; Genetic linkage; Linkage (software); Sequence (biology)","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":[0.001292379,0.002638503,0.001205831,0.01023286,0.0008664948,0.00144602,0.00228298,0.001616189,0.01765455],"category_scores_gemma":[0.005721728,0.0008256708,0.001906417,0.005582347,0.0005161043,0.001041325,0.002388596,0.0008864787,0.006667181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608415,"about_ca_system_score_gemma":0.001407828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865856,"about_ca_topic_score_gemma":0.004349752,"domain_scores_codex":[0.9992806,0.0001129923,0.0001065975,0.0002764926,0.0001707611,0.00005253303],"domain_scores_gemma":[0.9973139,0.001831108,0.0003096089,0.0002130173,0.000146819,0.0001855544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002041889,0.0003932369,0.08136623,0.007313932,0.00142636,0.007327641,0.001212243,0.01025235,0.02224408,0.009767605,0.5133197,0.3433348],"study_design_scores_gemma":[0.002340487,0.0006142013,0.08896802,0.00133455,0.001404923,0.01729758,0.001035492,0.1014028,0.03593124,0.06019874,0.6890479,0.0004241052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.05959005,0.006012819,0.3369938,0.001945427,0.000415924,0.001294506,0.414924,0.1685859,0.0102376],"genre_scores_gemma":[0.1069442,0.002558763,0.5366854,0.001062123,0.000157158,0.002556497,0.3401129,0.005463297,0.004459479],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01765455,"threshold_uncertainty_score":0.05906034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382031752148855,"score_gpt":0.2397273568406788,"score_spread":0.2259070393191903,"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."}}