{"id":"W2158386569","doi":"10.1186/1471-2105-6-305","title":"The Gene Set Builder: collation, curation, and distribution of sets of genes","year":2005,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Child and Family Research Institute","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Ensembl; Computer science; Identifier; Set (abstract data type); Gene nomenclature; Unique identifier; Database; Table (database); World Wide Web; Gene; Genome; Genomics; Biology; Genetics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005290578,0.003333174,0.001901481,0.01530838,0.002803688,0.004527138,0.004123741,0.001177142,0.05533079],"category_scores_gemma":[0.01759431,0.001810729,0.00220883,0.01379755,0.001137511,0.00385104,0.00713435,0.003115383,0.05383351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741646,"about_ca_system_score_gemma":0.004811994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004671289,"about_ca_topic_score_gemma":0.004538434,"domain_scores_codex":[0.9960237,0.0005666428,0.0005608462,0.001103052,0.001480118,0.0002655168],"domain_scores_gemma":[0.9918195,0.002285148,0.0006977898,0.002509382,0.001963431,0.0007247366],"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":[0.0005788471,0.00009222693,0.005631277,0.001908705,0.0001966454,0.0007747966,0.0009821978,0.0017143,0.01245899,0.007635313,0.8059666,0.1620601],"study_design_scores_gemma":[0.000220276,0.00007454772,0.008045739,0.0006213744,0.0001235357,0.001326848,0.0002976014,0.009375136,0.02025397,0.01250434,0.9469085,0.0002480735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004023487,0.000774463,0.3407573,0.0008206464,0.0005792787,0.001361485,0.2503794,0.3899197,0.01138428],"genre_scores_gemma":[0.01298323,0.0007265268,0.5196666,0.0006282093,0.000213251,0.002900863,0.3832864,0.0736875,0.005907452],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05533079,"threshold_uncertainty_score":0.1850999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009980879081941396,"score_gpt":0.2368259789449167,"score_spread":0.2268450998629754,"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."}}