{"id":"W4396661972","doi":"10.1051/epjconf/202429508006","title":"<i>BABAR’</i>s Experience with the Preservation of Data and Analysis Capabilities","year":2024,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics; University of Victoria","funders":"","keywords":"Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.05461419,0.001407651,0.001308973,0.002204016,0.004033409,0.01393223,0.00404536,0.002734616,0.01532804],"category_scores_gemma":[0.02960647,0.001415096,0.001154127,0.006682528,0.006838672,0.01584817,0.01088794,0.009776478,0.01439179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00344039,"about_ca_system_score_gemma":0.00432787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006338261,"about_ca_topic_score_gemma":0.002529189,"domain_scores_codex":[0.9711939,0.0128915,0.001237688,0.002605938,0.009840072,0.002230857],"domain_scores_gemma":[0.9448953,0.01388311,0.002173097,0.01641922,0.01531711,0.007312224],"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":[0.001040774,0.0001988961,0.004268044,0.001107728,0.0002061225,0.001026075,0.009395901,0.002892938,0.01089284,0.1603509,0.5504585,0.2581614],"study_design_scores_gemma":[0.00003116705,0.0001049759,0.0009316196,0.0002546564,0.00001915282,0.0007079208,0.0005608957,0.0007561217,0.006737405,0.01227011,0.9775128,0.0001132415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03710517,0.05738882,0.4222489,0.1363691,0.02152394,0.0003196443,0.007077447,0.03080808,0.2871589],"genre_scores_gemma":[0.2340005,0.03164615,0.5417603,0.02356821,0.009521626,0.0006790081,0.02328819,0.02579018,0.1097458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959546,"threshold_uncertainty_score":0.2888309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448206772626657,"score_gpt":0.2851811756570548,"score_spread":0.2403604983943891,"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."}}