{"id":"W571281311","doi":"","title":"Library crime and security : an international perspective","year":2019,"lang":"en","type":"book","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Crime prevention; Institution; Criminology; Political science; SAFER; Public relations; Perspective (graphical); Library science; Engineering; Business; Computer security; Sociology; Law; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008592033,0.0001739128,0.0001556963,0.0002310869,0.0012213,0.002461009,0.001247049,0.0001526312,0.01236495],"category_scores_gemma":[0.0002240694,0.0001858734,0.0000537778,0.0002463169,0.0004470976,0.005125241,0.0006485379,0.0003411717,0.001462788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454754,"about_ca_system_score_gemma":0.0003427471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006641349,"about_ca_topic_score_gemma":0.000007998051,"domain_scores_codex":[0.997525,0.0004766813,0.0002238189,0.0006178882,0.0008304875,0.0003261607],"domain_scores_gemma":[0.9987876,0.00005563163,0.0001454594,0.0003347043,0.0004027002,0.0002739504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002222678,0.00005050929,0.0001007769,0.00002691238,0.00002712371,0.000007001453,0.009907056,6.737118e-7,0.000002088338,0.9602302,0.02946897,0.0001565105],"study_design_scores_gemma":[0.0002704357,0.0002422392,0.0008642169,0.00005739377,0.00001369709,0.000003123249,0.004566899,0.000002193954,0.00002134739,0.1936166,0.8000718,0.0002700506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0276547,0.00006918888,6.183055e-7,0.005191291,0.0005282803,0.0009162043,0.00002539022,0.0003675654,0.9652467],"genre_scores_gemma":[0.3946066,0.0004851045,0.000009758599,0.0004117941,0.0008512472,3.854203e-7,0.0008823789,0.0002148635,0.6025379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7706028,"threshold_uncertainty_score":0.9993147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332044429630993,"score_gpt":0.3107562397508311,"score_spread":0.2774357954545212,"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."}}