{"id":"W2022649613","doi":"10.1038/35054237","title":"Users must help to keep public databases correct","year":2001,"lang":"en","type":"letter","venue":"Nature","topic":"Research Data Management Practices","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Database; Computer science; World Wide Web; Data science; Information retrieval","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06938297,0.0009520515,0.002446251,0.002829773,0.01283736,0.02916852,0.006251145,0.07808623,0.01787941],"category_scores_gemma":[0.2663671,0.002118577,0.001804888,0.00456069,0.0132667,0.03269631,0.01049552,0.06195707,0.02162333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009223574,"about_ca_system_score_gemma":0.02771291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293269,"about_ca_topic_score_gemma":0.01829349,"domain_scores_codex":[0.9131535,0.02106925,0.01345678,0.005782317,0.04075324,0.005784854],"domain_scores_gemma":[0.5855902,0.2357435,0.01717379,0.05338976,0.08420251,0.02390026],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002917278,0.00002855554,0.0006158953,0.00005001512,0.00001206498,0.0002723119,0.0005692707,0.00004377733,0.0001332182,0.01552745,0.9712186,0.01149951],"study_design_scores_gemma":[0.00006278445,0.00001978219,0.0007057844,0.0002053121,0.00002154974,0.0005302637,0.0008492204,0.0002872751,0.0002649884,0.02223152,0.9747711,0.00005047577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003605531,0.0003890241,0.001541995,0.9839591,0.004865358,0.00002348345,0.00007181517,0.0002057631,0.008582897],"genre_scores_gemma":[0.004443525,0.0005574292,0.002497115,0.961556,0.00769149,0.0001034852,0.0001568518,0.0002056931,0.02278839],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.930617,"threshold_uncertainty_score":0.3669366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056067108756118,"score_gpt":0.3655755288097729,"score_spread":0.2599688179341612,"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."}}