{"id":"W1984000100","doi":"10.1108/07378831111116967","title":"Access to serials: integrating SFX with Evergreen open source ILS","year":2011,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Resolver; World Wide Web; Computer science; Upload; Personalization; Interoperability; Software; Open source; Operating system; Telecommunications","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":[0.008609241,0.0006156851,0.0005102091,0.004086372,0.001641939,0.007981011,0.002521199,0.0009631073,0.02235263],"category_scores_gemma":[0.01833269,0.0008616741,0.0007381566,0.003916393,0.001468979,0.01205155,0.0111201,0.002042232,0.008104836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735238,"about_ca_system_score_gemma":0.003585847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004348775,"about_ca_topic_score_gemma":0.004802245,"domain_scores_codex":[0.9901456,0.001491513,0.0009577266,0.001049631,0.005958232,0.0003971619],"domain_scores_gemma":[0.9845412,0.002353929,0.00122645,0.006205503,0.004649733,0.001023156],"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":[0.0003704001,0.0007377908,0.01765451,0.0006735421,0.00008042416,0.001112779,0.009245347,0.001514963,0.01197259,0.04275757,0.02829161,0.8855885],"study_design_scores_gemma":[0.0001049783,0.0006123558,0.02278053,0.0007676086,0.0001202351,0.001547746,0.004094235,0.0127527,0.02673252,0.01417373,0.9161111,0.000202332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1182128,0.001218338,0.5787717,0.003391687,0.0005625711,0.002261154,0.001661645,0.06783281,0.2260873],"genre_scores_gemma":[0.2272121,0.001276916,0.6135188,0.001132111,0.0003341464,0.0008480571,0.006443512,0.0103496,0.1388848],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02235263,"threshold_uncertainty_score":0.07477701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767283809237141,"score_gpt":0.2523148227576307,"score_spread":0.1946419846652593,"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."}}