{"id":"W4247290115","doi":"10.1007/978-0-387-39940-9_3963","title":"Visual Discovery","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":[0.0002223914,0.0003513649,0.0005075978,0.00008811407,0.00003824024,0.00002053909,0.0003293874,0.0005512064,0.00003205934],"category_scores_gemma":[0.0001167719,0.000303615,0.0001795662,0.00002220869,0.0001997674,0.000005351063,0.0001955767,0.0002247383,0.00004395365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001429173,"about_ca_system_score_gemma":0.0001727731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003788157,"about_ca_topic_score_gemma":0.0000153078,"domain_scores_codex":[0.9983356,0.00003427475,0.0005215808,0.0005308828,0.0003300754,0.0002476021],"domain_scores_gemma":[0.9987664,0.00003341017,0.0003377067,0.0006827849,0.00006851139,0.0001112435],"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":[0.0005421081,0.0004388547,0.0003909099,0.002225639,0.001306691,0.0003395335,0.0001316302,0.00002081238,0.02639314,0.02803869,0.7088706,0.2313014],"study_design_scores_gemma":[0.000250726,0.0003882156,0.00002987343,0.000378023,0.00006341612,0.00002595297,0.00002695124,0.00000542706,0.00039733,0.00006705684,0.9980053,0.0003617152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001525093,0.02145742,0.001589297,0.00005212649,0.001778338,0.0004411138,0.001966827,0.00005122799,0.9711385],"genre_scores_gemma":[0.006424231,0.008844743,0.0006421893,0.00007468288,0.002232193,0.00001589116,0.004754115,0.00007336641,0.9769386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2891347,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129134450413448,"score_gpt":0.2610420807004402,"score_spread":0.2481286356590954,"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."}}