{"id":"W2522436860","doi":"10.1080/21624054.2016.1234659","title":"GExplore 1.4: An expanded web interface for queries on<i>Caenorhabditis elegans</i>protein and gene function","year":2016,"lang":"en","type":"article","venue":"Worm","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Caenorhabditis elegans; Gene; Function (biology); Biology; Domain (mathematical analysis); Computational biology; Interface (matter); Genome; Proteome; Computer science; Database; Genetics","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":[0.001472672,0.003211898,0.002137764,0.003568536,0.0006183217,0.001885716,0.004429541,0.002039025,0.184363],"category_scores_gemma":[0.003613109,0.001843365,0.00127643,0.002967279,0.0003772312,0.002998507,0.003144665,0.001709338,0.1098828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007411951,"about_ca_system_score_gemma":0.001107582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367177,"about_ca_topic_score_gemma":0.004724486,"domain_scores_codex":[0.9994063,0.00007829854,0.00009559072,0.0001558806,0.0001855518,0.00007845701],"domain_scores_gemma":[0.9988406,0.0005972941,0.0000843028,0.0001897405,0.0001728667,0.0001151737],"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":[0.001176747,0.000103169,0.001960828,0.002485764,0.0002294354,0.0009807649,0.0003103684,0.0005408602,0.03804877,0.002427272,0.8858747,0.06586121],"study_design_scores_gemma":[0.0008117872,0.0001829161,0.01175148,0.0005982439,0.0001499949,0.002771393,0.0001850538,0.00853994,0.05200865,0.007765178,0.9147906,0.0004446492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005234883,0.001083335,0.08659068,0.0005559822,0.0001596695,0.0003985255,0.4432346,0.4421886,0.02055373],"genre_scores_gemma":[0.02219959,0.001298508,0.1045206,0.00129625,0.0001035456,0.001329577,0.774553,0.07759253,0.01710642],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.184363,"threshold_uncertainty_score":0.6167555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150652782256002,"score_gpt":0.2312824797697429,"score_spread":0.2197759519471829,"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."}}