{"id":"W2141093030","doi":"10.2481/dsj.3.202","title":"Appraising digital records for long-term preservation","year":2004,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scope (computer science); Computer science; Digital preservation; Usability; Transparency (behavior); Metadata; Implementation; Open data; World Wide Web; Data science; Reuse; Data curation; Data publishing; Electronic publishing; Publishing; Political science; Software engineering; The Internet; Computer security; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002986707,0.00006120263,0.00005408098,0.0001075579,0.0007667891,0.003097451,0.0008317063,0.000003119873,0.00004804169],"category_scores_gemma":[0.00007477966,0.00004698223,0.00002793282,0.0000508993,0.0003953896,0.01229572,0.0002102138,0.00006432678,0.0000268885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003085606,"about_ca_system_score_gemma":0.0001027945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004467136,"about_ca_topic_score_gemma":0.00001849017,"domain_scores_codex":[0.9991291,0.000001948864,0.0001568321,0.0001877499,0.0003267768,0.0001975593],"domain_scores_gemma":[0.9995371,0.00002385352,0.00008332559,0.0001951264,0.00007889087,0.00008170452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002503786,0.0002051465,0.000566358,0.00002411439,0.00002065374,0.00001162415,0.001496654,0.00008172121,0.00002172711,0.8512712,0.004269432,0.1420063],"study_design_scores_gemma":[0.001197671,0.0004221939,0.07667181,0.0002198342,0.00003272942,0.0001379987,0.0006614539,0.0007757785,0.00004507093,0.4855567,0.4338547,0.0004240657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4352731,0.0000343514,0.05849253,0.005652582,0.003204986,0.0005021509,0.002288348,0.0000878168,0.4944641],"genre_scores_gemma":[0.9964588,0.000008269363,0.0009111961,0.0001694228,0.0009237953,0.000002929451,0.0004393305,0.000005401108,0.001080827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5611857,"threshold_uncertainty_score":0.9979374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352581856858978,"score_gpt":0.3013021351824907,"score_spread":0.1660439494965929,"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."}}