{"id":"W4210979382","doi":"10.2200/s00878ed1v01y201810dtm052","title":"Data Profiling","year":2018,"lang":"en","type":"article","venue":"Synthesis lectures on data management","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Profiling (computer programming); Metadata; Computer science; Data science; Research data; Information retrieval; World Wide Web; Data curation; Operating system","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":[0.009461921,0.001740854,0.001515138,0.005308711,0.00206126,0.01040193,0.00249816,0.001229622,0.04375417],"category_scores_gemma":[0.03965746,0.001366692,0.001606113,0.006098495,0.001200035,0.01512409,0.007331789,0.003595483,0.04207195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800425,"about_ca_system_score_gemma":0.003582181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390949,"about_ca_topic_score_gemma":0.001187993,"domain_scores_codex":[0.9899368,0.00211796,0.00114638,0.002305527,0.003883036,0.0006103177],"domain_scores_gemma":[0.9756566,0.00520239,0.0009143017,0.01209819,0.005087613,0.001040801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003063495,0.00009195699,0.002090073,0.0005383947,0.0000555218,0.000117542,0.0003678157,0.002311708,0.00529259,0.155116,0.2057945,0.6279175],"study_design_scores_gemma":[0.00002357251,0.00004593556,0.0009990203,0.0003416711,0.00004371092,0.0004281549,0.0002945913,0.01445712,0.01609437,0.134527,0.8326715,0.00007339473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002902437,0.002289245,0.8911287,0.007362803,0.002803012,0.0007016171,0.009618568,0.02288947,0.06030414],"genre_scores_gemma":[0.1034362,0.005104286,0.7193628,0.005643957,0.002700426,0.001014613,0.03162248,0.01036143,0.1207539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04375417,"threshold_uncertainty_score":0.1463723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.484101918142008,"score_gpt":0.4815667505532124,"score_spread":0.002535167588795573,"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."}}