{"id":"W4410573952","doi":"10.4018/jdm.377526","title":"FADE","year":2025,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Alberta","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":[],"consensus_categories":[],"category_scores_codex":[0.0004491464,0.0000656716,0.0001022949,0.0003248764,0.00003998467,0.0001087362,0.001132173,0.00001471965,0.000007242047],"category_scores_gemma":[0.00003031561,0.00005056308,0.00004693972,0.0003866614,0.00001247085,0.0005739315,0.0006075166,0.0001383617,0.000005222189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004581433,"about_ca_system_score_gemma":0.00002519856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002113924,"about_ca_topic_score_gemma":3.172993e-7,"domain_scores_codex":[0.9992805,0.00002568394,0.0002403385,0.0001079922,0.0002355251,0.0001099672],"domain_scores_gemma":[0.9993448,0.00002297879,0.0001526346,0.0003725674,0.00007532981,0.00003174547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001019065,0.000038643,0.0000427476,0.0001303909,0.00008097738,0.000468613,0.00003964376,0.000003382067,0.0010579,0.7345957,0.09149376,0.1720381],"study_design_scores_gemma":[0.002194689,0.0002465461,0.001023088,0.002360945,0.000213731,0.0002167905,0.0002071034,0.004080082,0.07952696,0.2299598,0.6793436,0.0006266604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001447894,0.002186741,0.9889793,0.002087261,0.0003299993,0.00006079107,0.000001292285,0.00006373924,0.006146052],"genre_scores_gemma":[0.03350797,0.0001308902,0.9642916,0.00117051,0.00003564734,0.000001722608,0.000001069402,0.00000259411,0.0008580085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5878499,"threshold_uncertainty_score":0.2103878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008869374136667394,"score_gpt":0.2861501527559221,"score_spread":0.2772807786192547,"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."}}