{"id":"W4254188198","doi":"10.1007/978-3-030-26253-2_6","title":"Data Replication","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":[0.001903079,0.0008961756,0.0007533018,0.00161739,0.001666527,0.004103287,0.002513885,0.0009428697,0.06023271],"category_scores_gemma":[0.005954206,0.0007300712,0.0008078622,0.002874524,0.0008284082,0.005370321,0.002983742,0.00169612,0.03762994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148052,"about_ca_system_score_gemma":0.002353062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780208,"about_ca_topic_score_gemma":0.001456614,"domain_scores_codex":[0.9982705,0.000233268,0.0001162484,0.0004426641,0.0008359467,0.0001013],"domain_scores_gemma":[0.9954063,0.0005419183,0.0001197565,0.002695125,0.00107214,0.0001648686],"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":[0.0001591327,0.00009089453,0.0004377833,0.0005313602,0.00003190369,0.0001181092,0.0003978782,0.001577739,0.009074041,0.1810104,0.2321207,0.5744501],"study_design_scores_gemma":[0.0000280257,0.00006288636,0.0002434038,0.0001101948,0.00002572123,0.0004598085,0.0001282747,0.005611156,0.009788755,0.05730077,0.9262097,0.00003129621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006168377,0.006527655,0.4699141,0.004234732,0.005258945,0.001189341,0.003196037,0.01658619,0.4869246],"genre_scores_gemma":[0.08261254,0.005914459,0.238077,0.001821678,0.001729621,0.0008025434,0.005702372,0.003092932,0.6602468],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06023271,"threshold_uncertainty_score":0.2014984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07479275522507631,"score_gpt":0.2929061313876551,"score_spread":0.2181133761625788,"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."}}