{"id":"W3010092928","doi":"","title":"Driven by Demand: Public Library Perspectives on the Elending Market","year":2020,"lang":"en","type":"article","venue":"Minerva Access (University of Melbourne)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public relations; Balance (ability); Business; Empirical evidence; Service (business); Public funding; Key (lock); Political science; Public administration; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008582977,0.0001271857,0.0001581411,0.0001430181,0.0003578174,0.0005679863,0.002286093,0.00004695959,0.0009641916],"category_scores_gemma":[0.0000547225,0.000108381,0.00009670478,0.001013402,0.00009325922,0.005434956,0.0009488619,0.0001325415,0.00002524373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924942,"about_ca_system_score_gemma":0.00009193913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008176059,"about_ca_topic_score_gemma":0.000002109102,"domain_scores_codex":[0.9989559,0.00009591787,0.0001002579,0.0003345612,0.0003060086,0.0002073681],"domain_scores_gemma":[0.9992657,0.0001894051,0.00012769,0.0002159876,0.0000352782,0.0001659032],"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":[0.00009110793,0.0001346811,0.01933698,0.00002953612,0.0001313145,0.00003923516,0.01152101,0.00002308268,0.0002623139,0.02750588,0.9310741,0.009850726],"study_design_scores_gemma":[0.002168425,0.0004676281,0.05004752,0.0001226479,0.00003193127,0.00001334063,0.02214878,0.07129848,0.003868808,0.002849748,0.8458446,0.001138067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4979594,0.0004314883,0.03082677,0.1708396,0.0001304256,0.0003116543,0.00001654957,0.0004393859,0.2990447],"genre_scores_gemma":[0.9821936,0.0001151694,0.001535267,0.001088567,0.00004691174,4.402184e-7,0.000003932756,0.000008822294,0.01500732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4842342,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062071158386346,"score_gpt":0.1906402346411796,"score_spread":0.1600195230573162,"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."}}