{"id":"W4402898151","doi":"10.1016/j.is.2024.102460","title":"Data Lakehouse: A survey and experimental study","year":2024,"lang":"en","type":"article","venue":"Information Systems","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Survey research; Data science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02432591,0.0007034467,0.001017257,0.008929013,0.001780763,0.005276291,0.003119546,0.0009976042,0.005777986],"category_scores_gemma":[0.06229267,0.0008404311,0.001143327,0.0254629,0.002114118,0.01622495,0.00276851,0.001753759,0.001611427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003381558,"about_ca_system_score_gemma":0.005379243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008941846,"about_ca_topic_score_gemma":0.007000997,"domain_scores_codex":[0.9803728,0.006833212,0.002373065,0.002282439,0.007389127,0.0007494502],"domain_scores_gemma":[0.8812131,0.07062358,0.00546892,0.01352788,0.02685484,0.002311541],"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":[0.001294289,0.001386513,0.06040701,0.01300032,0.0004042913,0.0001503917,0.002623912,0.003082474,0.005095874,0.02922258,0.05982582,0.8235066],"study_design_scores_gemma":[0.0003151291,0.003575347,0.07353875,0.007650029,0.0008290714,0.001465415,0.01302443,0.01833558,0.02921725,0.008969134,0.842716,0.0003639748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4089218,0.2644023,0.1592108,0.02123962,0.001244673,0.005716439,0.02976033,0.008961598,0.1005424],"genre_scores_gemma":[0.6299331,0.1742081,0.1393624,0.004572374,0.0006325658,0.002210153,0.0404442,0.001238525,0.007398594],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02432591,"threshold_uncertainty_score":0.1286492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4319128260972868,"score_gpt":0.4771378457812553,"score_spread":0.04522501968396853,"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."}}