{"id":"W1530071185","doi":"10.1002/dvg.22869","title":"Cross‐organism analysis using InterMine","year":2015,"lang":"en","type":"review","venue":"genesis","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; Wellcome Trust","keywords":"Computer science; Scripting language; Identifier; Interoperation; Interface (matter); Organism; Graphical user interface; Set (abstract data type); Software; User interface; World Wide Web; Database; Interoperability; Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003216009,0.0003825991,0.001100716,0.0001767363,0.00007304498,0.00008328263,0.0004296712,0.0005745726,0.00007496474],"category_scores_gemma":[0.00001718244,0.0003252559,0.0007939612,0.0004383827,0.00006372255,0.000002345266,0.00036016,0.0001185927,0.00005878161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005430777,"about_ca_system_score_gemma":0.0002959348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001990308,"about_ca_topic_score_gemma":0.00001176694,"domain_scores_codex":[0.9985082,0.00006072915,0.0005880398,0.0004012032,0.0001333226,0.0003085538],"domain_scores_gemma":[0.9986282,0.000007028458,0.0003536385,0.0007526749,0.0001121789,0.0001462926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005036965,0.00001970965,0.00001978831,0.001301456,0.00234401,0.000004868532,0.00002441914,0.0001483798,0.00003989469,0.000005238624,0.001792919,0.9942943],"study_design_scores_gemma":[0.00008994469,0.00003184093,0.000002601758,0.0001582692,0.003597665,0.00003466847,0.000007463572,0.0002413468,0.00002066192,0.000008675245,0.9954153,0.0003915959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002886549,0.9944582,0.004166558,0.000001439502,0.0002789258,0.000209515,0.0001252533,0.0000114486,0.000460007],"genre_scores_gemma":[0.0000580785,0.994634,0.001800702,0.00005051375,0.0006541277,0.00001522551,0.001120756,0.00006025065,0.00160637],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9939027,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332457469387577,"score_gpt":0.3439149790920676,"score_spread":0.3005904043981918,"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."}}