{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073124,0.0009023503,0.001664631,0.003800446,0.0003797718,0.001871691,0.002538649,0.0007191614,0.005822581],"category_scores_gemma":[0.001777726,0.0005964843,0.001235888,0.003785322,0.0003475464,0.001672669,0.001877654,0.001225038,0.004144102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007411679,"about_ca_system_score_gemma":0.0009551588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000562844,"about_ca_topic_score_gemma":0.0007357859,"domain_scores_codex":[0.9991981,0.0001295138,0.00008939915,0.0002001208,0.0003393159,0.00004342663],"domain_scores_gemma":[0.9992415,0.0003298995,0.000117412,0.00009404565,0.0001814756,0.00003572199],"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":[0.0001674477,0.00004521586,0.001346704,0.008010367,0.0004438181,0.0003939619,0.0002211208,0.001772102,0.01778001,0.02407577,0.04341222,0.9023312],"study_design_scores_gemma":[0.0000190341,0.00005980558,0.002569234,0.0008426596,0.0002541995,0.001565343,0.00007848576,0.004290125,0.02234326,0.01366092,0.9542536,0.00006324444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01248794,0.4233274,0.4721182,0.002833984,0.001002162,0.0003847226,0.0129192,0.02569617,0.04923008],"genre_scores_gemma":[0.08279655,0.3103746,0.5418384,0.00245082,0.0004583198,0.001530173,0.03550605,0.003824221,0.02122069],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005822581,"threshold_uncertainty_score":0.01947844,"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."}}