{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01734327,0.001587703,0.001070248,0.002312311,0.005318619,0.01811692,0.003581681,0.01050204,0.01029673],"category_scores_gemma":[0.02571176,0.0009205316,0.001154673,0.00329152,0.02613708,0.07704827,0.008824795,0.01690404,0.004616539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003725377,"about_ca_system_score_gemma":0.005661436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923636,"about_ca_topic_score_gemma":0.001732169,"domain_scores_codex":[0.991996,0.003406202,0.0004334968,0.001110655,0.002543648,0.0005099857],"domain_scores_gemma":[0.9852482,0.00574967,0.0008793538,0.002470076,0.003092533,0.002560218],"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":[0.00007171609,0.00003279372,0.0002663781,0.0002496467,0.00001823349,0.00008302093,0.001870221,0.0002341689,0.0005884852,0.8607953,0.0764408,0.05934924],"study_design_scores_gemma":[0.00002519538,0.0001137766,0.0001855363,0.0003355914,0.00002268148,0.0003395979,0.002178814,0.0008211039,0.0003571132,0.4824575,0.5130975,0.00006566491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006513976,0.04667531,0.2027747,0.6343631,0.02548005,0.0001127476,0.0002288631,0.001367711,0.08248353],"genre_scores_gemma":[0.2130321,0.06002304,0.3287816,0.2746097,0.0259632,0.0008501768,0.000505442,0.003569438,0.0926652],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01811692,"threshold_uncertainty_score":0.09172106,"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."}}