{"id":"W1970746207","doi":"10.1108/rsr-07-2014-0027","title":"Access to translated fiction in Canadian public libraries","year":2014,"lang":"en","type":"article","venue":"Reference Services Review","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cataloging; Originality; Subject access; Promotion (chess); Subject (documents); Computer science; Collection development; World Wide Web; Public access; Library science; Selection (genetic algorithm); Set (abstract data type); Relevance (law); Quality (philosophy); Sociology; Political science; Qualitative research","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006084771,0.0003251784,0.0007317275,0.01790295,0.008347264,0.00771228,0.002114894,0.0006430764,0.008759806],"category_scores_gemma":[0.04342211,0.000305062,0.0003775762,0.04454684,0.0039764,0.002704026,0.003275946,0.0007410873,0.0006345789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06549242,"about_ca_system_score_gemma":0.1417442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755146,"about_ca_topic_score_gemma":0.9814431,"domain_scores_codex":[0.9919688,0.00080048,0.0004005793,0.0005411648,0.005073665,0.001215221],"domain_scores_gemma":[0.9561925,0.007322807,0.005815029,0.001643749,0.02664886,0.002377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006547017,0.000123244,0.1760437,0.005359598,0.0001511137,0.00231252,0.1786248,0.0005433742,0.001289893,0.01416438,0.03571224,0.5850204],"study_design_scores_gemma":[0.00002946894,0.0001288661,0.6631335,0.002450216,0.0001962597,0.0008744797,0.08511047,0.0003138336,0.001372785,0.0006200906,0.2455989,0.0001711062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538997,0.03427152,0.0008085156,0.007346483,0.0002217237,0.0002879128,0.006786954,0.000179989,0.09619719],"genre_scores_gemma":[0.9697702,0.01331823,0.0009018959,0.0006364582,0.00005981027,0.00006461613,0.002362469,0.00004713466,0.01283926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922877,"threshold_uncertainty_score":0.475183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180928324921905,"score_gpt":0.3118841948197374,"score_spread":0.1937913623275469,"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."}}