{"id":"W1608405847","doi":"10.1017/cbo9780511545993.006","title":"DATA AND DATA QUALITY","year":2002,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Data quality; Quality (philosophy); Computer science; Business; Philosophy; Epistemology","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":[0.08013032,0.001560828,0.003877403,0.01367658,0.002897748,0.009023827,0.004734434,0.002368291,0.1670688],"category_scores_gemma":[0.3621792,0.001540989,0.002728115,0.02194413,0.002883352,0.005648983,0.004970405,0.004173248,0.06492753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005282276,"about_ca_system_score_gemma":0.02175453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579534,"about_ca_topic_score_gemma":0.01517173,"domain_scores_codex":[0.8627079,0.0330215,0.03401446,0.01400074,0.05220622,0.004049249],"domain_scores_gemma":[0.7026863,0.07502956,0.01635781,0.07271843,0.127998,0.005209995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001200234,0.0002390924,0.01669082,0.00793633,0.0002944205,0.0002497112,0.002553887,0.001233138,0.001638841,0.0241961,0.7216494,0.222118],"study_design_scores_gemma":[0.000247443,0.0001141296,0.01721217,0.002638333,0.0001425542,0.0001739039,0.0006981613,0.0007668649,0.002188323,0.01074156,0.9649233,0.0001533215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.007585959,0.001717452,0.07429359,0.006233164,0.002123911,0.02953925,0.8079804,0.004185279,0.06634112],"genre_scores_gemma":[0.04540199,0.002422553,0.167674,0.00443902,0.001062298,0.118637,0.5899367,0.007160967,0.06326548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1670688,"threshold_uncertainty_score":0.5589008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09393600319983621,"score_gpt":0.2545883563252668,"score_spread":0.1606523531254306,"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."}}