{"id":"W2797310189","doi":"10.4337/9781781954751.00022","title":"Bibliography","year":2013,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Justice Programs; Fordham University; European Commission; University of Pittsburgh; Princeton University; Vanderbilt University; Yale University; University of Oxford; Emerald Publishing; University of Chicago; York University; U.S. Department of Justice","keywords":"Bibliography; Computer science; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005149458,0.001369374,0.001449764,0.01162813,0.002896604,0.005084807,0.001858067,0.001088515,0.5480984],"category_scores_gemma":[0.002772783,0.0004983171,0.0007254291,0.01640547,0.0008837348,0.003729652,0.002493952,0.00191847,0.4514498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002049522,"about_ca_system_score_gemma":0.003783374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233109,"about_ca_topic_score_gemma":0.02260489,"domain_scores_codex":[0.9994006,0.00007039765,0.00003558147,0.00008236083,0.0003565811,0.00005437222],"domain_scores_gemma":[0.9989022,0.0001988607,0.00004117336,0.0001328499,0.000605954,0.0001188656],"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":[0.00001235258,0.00002245554,0.00004448635,0.0003267605,0.000003002538,0.00003632882,0.00009627039,0.00007935762,0.0000909451,0.006091583,0.8799157,0.1132808],"study_design_scores_gemma":[0.000001687304,0.000002911199,0.00006163622,0.0002323621,0.000002710238,0.00002604417,0.00004620692,0.000009840759,0.000033604,0.001265916,0.9983143,0.000002880033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002135043,0.02259628,0.001622447,0.001223012,0.004272137,0.0001447826,0.003154885,0.0006226496,0.9661503],"genre_scores_gemma":[0.0008034373,0.0122014,0.001084655,0.0005466586,0.0007308958,0.00007980768,0.003456777,0.0003386143,0.9807578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4519016,"threshold_uncertainty_score":0.6445827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654385779994421,"score_gpt":0.2285453652150014,"score_spread":0.2020015074150572,"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."}}