{"id":"W4246297150","doi":"10.1007/978-0-387-39940-9_2645","title":"Flash","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"","field":"","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009127797,0.001050526,0.001723404,0.0007474311,0.00008070548,0.00004566677,0.001022148,0.0006294324,0.001109919],"category_scores_gemma":[0.000165792,0.001050701,0.0003993988,0.0001150297,0.0002111874,0.0004006902,0.0003021065,0.0008422113,0.03204352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466624,"about_ca_system_score_gemma":0.0004173453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001964534,"about_ca_topic_score_gemma":0.00008278002,"domain_scores_codex":[0.9947547,0.0001040659,0.001752527,0.001130226,0.001620081,0.000638444],"domain_scores_gemma":[0.9944505,0.0002091241,0.001647901,0.002952098,0.0003565382,0.0003838586],"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":[0.00007418352,0.00009617463,0.00003531673,0.001182194,0.0003505479,0.0003818535,0.0001198035,0.00002356631,0.0003022565,0.1565198,0.8357264,0.005187882],"study_design_scores_gemma":[0.0005206093,0.0001117947,0.00001484271,0.002429926,0.0003142768,0.00007974001,0.00001697625,0.00002776096,0.00002170027,0.0003934478,0.995091,0.0009779033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002973842,0.008105475,0.00003914229,0.00001270594,0.002246681,0.001407719,0.02106235,0.0003843664,0.9667118],"genre_scores_gemma":[0.000218131,0.002754325,0.0005776784,0.00002249081,0.002324226,0.00003820839,0.007073863,0.0005165285,0.9864746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1593646,"threshold_uncertainty_score":0.9998032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903212731201884,"score_gpt":0.2438184382597184,"score_spread":0.2247863109476996,"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."}}