{"id":"W107486347","doi":"","title":"A Survey of Cognitive Theories to Support Data Integration","year":2011,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schema matching; Computer science; Data integration; Schema (genetic algorithms); Heuristics; Conceptual schema; Matching (statistics); Data science; Business intelligence; Schema migration; Knowledge management; Database schema; Data mining; Information retrieval; Recall; Semi-structured model; Database design; Psychology","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":[0.002980884,0.001282201,0.001062197,0.007583565,0.001904633,0.006174628,0.002843168,0.002458013,0.00684115],"category_scores_gemma":[0.009190532,0.0006945739,0.001710411,0.01019071,0.00437892,0.01135756,0.002202662,0.002700669,0.001264385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003762373,"about_ca_system_score_gemma":0.00291365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005350539,"about_ca_topic_score_gemma":0.004230633,"domain_scores_codex":[0.9982101,0.0005204189,0.0001869071,0.0002627719,0.0007088883,0.0001109262],"domain_scores_gemma":[0.9931288,0.005059295,0.0003777226,0.0004755833,0.0008014161,0.0001573113],"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":[0.00004657728,0.0001489338,0.003708372,0.003156942,0.0001721847,0.0002992696,0.001933022,0.002970453,0.0002974657,0.7318516,0.009337814,0.2460775],"study_design_scores_gemma":[0.00001962261,0.00003490511,0.002729555,0.002183502,0.0001051072,0.0006677302,0.001246003,0.006724842,0.0003296312,0.8441486,0.1417467,0.00006374471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02017454,0.4988596,0.2664993,0.02981678,0.001239813,0.0002598126,0.0008974363,0.0005247533,0.181728],"genre_scores_gemma":[0.3024514,0.5123554,0.1618761,0.006671886,0.002780678,0.0006417327,0.00168745,0.0001514928,0.01138383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007583565,"threshold_uncertainty_score":0.02729809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09571183727510932,"score_gpt":0.3054713962991922,"score_spread":0.2097595590240829,"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."}}