{"id":"W39030002","doi":"10.1016/j.aca.2024.342898","title":"\"All Textbooks in the Library!\"An Experiment with Library Reserves","year":2012,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Collection development; Loan; Interlibrary loan; Academic library; Library science; Data collection; Business; History; Computer science; Finance; Sociology; Social science; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009227264,0.000775162,0.000797575,0.001869178,0.004810042,0.005935307,0.001370977,0.001543891,0.4553262],"category_scores_gemma":[0.003786213,0.0003544097,0.0007098736,0.002266197,0.001728562,0.008042411,0.003657954,0.00311134,0.3129611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655039,"about_ca_system_score_gemma":0.002366512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928215,"about_ca_topic_score_gemma":0.01243956,"domain_scores_codex":[0.9990508,0.0001410051,0.00006080655,0.0001223949,0.000528337,0.00009667657],"domain_scores_gemma":[0.9982414,0.0002455248,0.00007108857,0.0003571885,0.0007508575,0.0003338981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000708908,0.00006646764,0.0002925996,0.0001501118,0.000005376226,0.00008254797,0.0004146802,0.0000271308,0.0006217594,0.01053367,0.9006291,0.08710565],"study_design_scores_gemma":[0.00000358292,0.00001485018,0.0002901695,0.00006834629,0.000002156891,0.00006533002,0.000254071,0.00001458642,0.0002701413,0.001183208,0.9978262,0.000007488707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003179852,0.007582393,0.003865658,0.05905464,0.01101326,0.0001809575,0.00456353,0.003906692,0.906653],"genre_scores_gemma":[0.007730501,0.002618282,0.003125894,0.008834489,0.0008068544,0.00009378765,0.001225559,0.000947397,0.9746173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4553262,"threshold_uncertainty_score":0.776911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263066601883918,"score_gpt":0.2377233186286483,"score_spread":0.2114166584402565,"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."}}