{"id":"W4390245620","doi":"10.1016/j.datak.2023.102274","title":"Mining Keys for Graphs","year":2023,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph; Data deduplication; Theoretical computer science; Identification (biology); Data mining; Pruning; Database","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":[0.001808456,0.001388595,0.001067236,0.008389687,0.001729383,0.004390685,0.001869649,0.001415432,0.009535979],"category_scores_gemma":[0.0251241,0.001056395,0.002478394,0.00659231,0.00138712,0.01894497,0.003869871,0.002289438,0.004343549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304374,"about_ca_system_score_gemma":0.002173668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070138,"about_ca_topic_score_gemma":0.003540249,"domain_scores_codex":[0.9965525,0.0004445231,0.0004067327,0.001302763,0.0009276579,0.0003657693],"domain_scores_gemma":[0.9858899,0.007058039,0.001245165,0.003475915,0.001820456,0.0005104181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007477858,0.0003087108,0.01917157,0.002373173,0.0004108478,0.00108398,0.001795429,0.0165182,0.01670516,0.3431718,0.07495227,0.5227611],"study_design_scores_gemma":[0.00007423409,0.0001504275,0.003083076,0.0004407937,0.0003173493,0.001265789,0.0009577273,0.05755316,0.01216863,0.8686191,0.05529565,0.00007416354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09354493,0.003009463,0.8377293,0.004012758,0.0005295525,0.001166178,0.0370198,0.008719591,0.01426841],"genre_scores_gemma":[0.4476794,0.003144794,0.4916075,0.0006271696,0.0003586215,0.0008765376,0.04282805,0.001349478,0.0115283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009535979,"threshold_uncertainty_score":0.031901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3915863678661295,"score_gpt":0.4561268436149644,"score_spread":0.06454047574883487,"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."}}