{"id":"W2113640782","doi":"10.1109/icde.2005.1","title":"\"One size fits all\": an idea whose time has come and gone","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":385,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Factoring; Computer science; Architecture; Phrase; Database; Parsing; Data warehouse; Data science; Artificial intelligence; Finance","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":[0.0001755195,0.0001195351,0.0001787352,0.00003082363,0.0001215758,0.0001237356,0.0002528039,0.00003716103,0.0001197317],"category_scores_gemma":[0.00003237046,0.0001051806,0.00001971628,0.0001132839,0.00007069152,0.001666767,0.0002598131,0.00006609719,0.0002845006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001576083,"about_ca_system_score_gemma":0.0000231553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008660096,"about_ca_topic_score_gemma":0.0001208372,"domain_scores_codex":[0.9990231,0.00003589567,0.0001927772,0.0003433616,0.0001659509,0.0002388597],"domain_scores_gemma":[0.999106,0.00009008402,0.00005069179,0.0005530748,0.00004077054,0.0001594065],"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":[0.00003079414,0.0004050235,0.0005667645,0.00005459705,0.00007215003,0.00004208877,0.002592246,0.000202481,0.03924707,0.6962757,0.01407051,0.2464406],"study_design_scores_gemma":[0.0008713021,0.000235995,0.007357319,0.00004522849,0.000008007236,0.00007114215,0.00004270588,0.03641437,0.004663052,0.001132986,0.948591,0.0005668728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0950537,0.0006569342,0.8873971,0.008163888,0.0001650058,0.0003221252,0.00004134206,0.0006474779,0.007552425],"genre_scores_gemma":[0.3116184,0.00003865668,0.6761559,0.002224887,0.00024694,0.00001384506,0.00001594168,0.00001703095,0.009668443],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9345205,"threshold_uncertainty_score":0.4289138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638103870997723,"score_gpt":0.2544461153456867,"score_spread":0.2280650766357094,"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."}}