{"id":"W7101215840","doi":"","title":"From Fiefdom to Cyber-state (of the Art): the Evolution of the Audio-Visual Department in an Academic Library","year":2013,"lang":"en","type":"article","venue":"","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Academic library; Information system; Library management; Digital library","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":[0.003553156,0.0001943354,0.0002351296,0.001610092,0.02241473,0.02388878,0.00168967,0.003595409,0.009505406],"category_scores_gemma":[0.006191602,0.0004376453,0.0004347786,0.001879189,0.0273556,0.01080733,0.01340725,0.006303384,0.001044726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117547,"about_ca_system_score_gemma":0.009292998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06065548,"about_ca_topic_score_gemma":0.08656249,"domain_scores_codex":[0.996472,0.001658636,0.00009821069,0.0003426316,0.0005241613,0.0009043078],"domain_scores_gemma":[0.9961797,0.0007189411,0.000293301,0.0004203689,0.0005052719,0.001882365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002124997,0.0002890602,0.01535052,0.00007249844,0.00002606235,0.00353698,0.5036123,0.0006711612,0.001358848,0.3880427,0.02490258,0.06192479],"study_design_scores_gemma":[0.00002826925,0.0001289884,0.02176892,0.0001707067,0.00002202779,0.001989252,0.4916728,0.001081596,0.001415313,0.03550446,0.4460811,0.0001366153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6316947,0.0005373927,0.005228564,0.04455268,0.0003709699,0.00004354797,0.0000971311,0.0002282631,0.3172467],"genre_scores_gemma":[0.9807059,0.0001280471,0.0009705881,0.002186022,0.00006902127,0.00001072952,0.00001999231,0.00009193989,0.01581783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9761112,"threshold_uncertainty_score":0.1206048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032177974123301,"score_gpt":0.3186753384713418,"score_spread":0.2983535587301088,"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."}}