{"id":"W3013493466","doi":"10.18438/eblip29663","title":"Variation among Copies of Titles Catalogued as Identical Should Inform Retention Decisions","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interlibrary loan; Computer science; Newspaper; Library science; Information retrieval; World Wide Web; Loan; Sociology; Business; Media studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02829689,0.0003544632,0.0005311486,0.008077091,0.001418064,0.00521527,0.002444994,0.0008005896,0.01145403],"category_scores_gemma":[0.200109,0.000383169,0.0004278465,0.01074691,0.002082209,0.006120254,0.003142551,0.0009593099,0.005020523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827241,"about_ca_system_score_gemma":0.001958628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569394,"about_ca_topic_score_gemma":0.02215514,"domain_scores_codex":[0.9683856,0.007674833,0.005085427,0.004075498,0.01346006,0.001318684],"domain_scores_gemma":[0.8061723,0.0690103,0.05800702,0.02363498,0.04006195,0.003113467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004516215,0.0002670326,0.7232667,0.0007449918,0.0001674846,0.0002418582,0.01255948,0.0002927018,0.001547935,0.003866766,0.01763523,0.2389582],"study_design_scores_gemma":[0.00001354152,0.000230028,0.9549844,0.0003854272,0.00005084338,0.0002441188,0.007519345,0.0003228169,0.001746295,0.001759098,0.03266915,0.00007493456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921991,0.003147122,0.006902031,0.004474464,0.0004867647,0.0005884192,0.009318537,0.0002683667,0.05282328],"genre_scores_gemma":[0.9790389,0.0007912831,0.005982179,0.000761344,0.0002411822,0.0002667462,0.004153255,0.0001216421,0.008643444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02829689,"threshold_uncertainty_score":0.14965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831341066233525,"score_gpt":0.2546004054254968,"score_spread":0.2162869947631616,"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."}}