{"id":"W2973131311","doi":"10.1145/3307339.3342146","title":"Gene Set Databases","year":2019,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Set (abstract data type); Database; Programming language","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":[0.002996884,0.002375504,0.003517014,0.01202548,0.002245388,0.004203709,0.005895566,0.002532713,0.04196858],"category_scores_gemma":[0.01347472,0.001100686,0.002764088,0.01723401,0.0006807233,0.002672915,0.003314679,0.002279002,0.05045095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072877,"about_ca_system_score_gemma":0.003700065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956955,"about_ca_topic_score_gemma":0.003560172,"domain_scores_codex":[0.9955869,0.0006261527,0.001132475,0.001044719,0.001338681,0.0002710914],"domain_scores_gemma":[0.9939224,0.001820851,0.0007636719,0.001724474,0.001471883,0.0002967711],"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":[0.002662705,0.0005863001,0.009865831,0.01534649,0.0009981312,0.001529202,0.0007684056,0.0151831,0.0567105,0.05187626,0.6357886,0.2086844],"study_design_scores_gemma":[0.0002596742,0.0002335783,0.005475088,0.0005727122,0.0002547668,0.001157524,0.0002234937,0.01053785,0.01843219,0.03293145,0.9297382,0.0001835634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.005846351,0.004798288,0.07932106,0.0005655372,0.0003235742,0.001144205,0.8538772,0.03489614,0.01922765],"genre_scores_gemma":[0.009579214,0.001826677,0.06315079,0.0003893799,0.00005127308,0.001906306,0.9179499,0.001804412,0.003342124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04196858,"threshold_uncertainty_score":0.1403989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241665367228443,"score_gpt":0.2399804286003682,"score_spread":0.2275637749280838,"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."}}