{"id":"W1985018337","doi":"10.2481/dsj.4.21","title":"Rescuing and recovering lost or endangered data","year":2005,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dominion Astrophysical Observatory; Herzberg Institute of Astrophysics","funders":"","keywords":"Scope (computer science); Computer science; Transparency (behavior); Open data; Metadata; Usability; Reuse; Data science; Implementation; World Wide Web; Data curation; Open science; Engineering; Software engineering; Computer security","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":[0.01566988,0.0009272688,0.001143813,0.006391687,0.005175385,0.007431432,0.005667239,0.005158108,0.01068028],"category_scores_gemma":[0.1121215,0.0007494161,0.001316854,0.004248842,0.004186744,0.01086217,0.0124214,0.00515339,0.008839803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246685,"about_ca_system_score_gemma":0.008742338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447749,"about_ca_topic_score_gemma":0.002358032,"domain_scores_codex":[0.9834173,0.004969651,0.001467271,0.001599985,0.007325082,0.001220738],"domain_scores_gemma":[0.8813122,0.02402538,0.00888492,0.06468382,0.01784136,0.003252357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006518177,0.0003422494,0.01636652,0.001126403,0.000239412,0.003603081,0.00691415,0.005678807,0.009325089,0.1370278,0.1307702,0.6879544],"study_design_scores_gemma":[0.00009675656,0.0004760229,0.008501749,0.002903951,0.0003471412,0.008993546,0.009623928,0.03841799,0.0438513,0.2491796,0.637296,0.0003119826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1187809,0.007384607,0.7044547,0.05369686,0.006823187,0.001348799,0.003190325,0.009874385,0.09444623],"genre_scores_gemma":[0.5578356,0.004805648,0.327034,0.00865272,0.001634204,0.0005491059,0.005086046,0.002606618,0.09179595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01566988,"threshold_uncertainty_score":0.08287126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006452456693089,"score_gpt":0.3114684138730922,"score_spread":0.2108231682037833,"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."}}