{"id":"W4240589351","doi":"10.4324/9781003249276-22","title":"Building a National Electronic Collection for Long-Term Access","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Computer science; Physics; Astronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004475925,0.0007821953,0.0009204987,0.007236456,0.008838244,0.01154465,0.002682218,0.001892397,0.2436566],"category_scores_gemma":[0.008405721,0.000856595,0.0007750109,0.01149542,0.002370355,0.008128376,0.004763315,0.002883795,0.161493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02495922,"about_ca_system_score_gemma":0.100202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6107507,"about_ca_topic_score_gemma":0.7801163,"domain_scores_codex":[0.9948178,0.0002146791,0.0001753328,0.0002366817,0.004124332,0.0004311576],"domain_scores_gemma":[0.9838846,0.000531402,0.0001566627,0.001528976,0.01205747,0.001840892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005753507,0.00002084956,0.0001641827,0.0001307757,0.000002220621,0.00003766435,0.0001970682,0.00005287947,0.0003078626,0.01696127,0.8880519,0.09406758],"study_design_scores_gemma":[7.624541e-7,0.000001956607,0.0002037303,0.00004085356,0.000001680293,0.00002459159,0.00007844822,0.00001978377,0.00006617743,0.0002721194,0.9992849,0.000004953151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000696658,0.003659256,0.007114492,0.006471329,0.002325602,0.0005247563,0.004150109,0.002623224,0.9724345],"genre_scores_gemma":[0.002454558,0.004715164,0.0142638,0.001040652,0.0002244147,0.0001545672,0.00550752,0.001530503,0.9701087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9884554,"threshold_uncertainty_score":0.8151124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641483458037115,"score_gpt":0.2775232353153975,"score_spread":0.2411084007350263,"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."}}