{"id":"W2113670906","doi":"10.1177/0093854814540288","title":"Making Prisoners Accountable","year":2014,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Prison; Variety (cybernetics); Contingency; Work (physics); Contingency management; Psychology; Contingency plan; Public relations; Criminology; Medical education; Applied psychology; Computer security; Computer science; Political science; Medicine; Engineering; Psychiatry; Intervention (counseling)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05188684,0.0004218087,0.0008929865,0.002684268,0.004846688,0.008002271,0.002981087,0.004301401,0.01025782],"category_scores_gemma":[0.2375983,0.0005969415,0.001335417,0.00131593,0.005297926,0.01180139,0.008330904,0.00679974,0.0009898084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006062959,"about_ca_system_score_gemma":0.0129063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422076,"about_ca_topic_score_gemma":0.02634841,"domain_scores_codex":[0.945274,0.04048342,0.003468155,0.00264314,0.005079674,0.003051758],"domain_scores_gemma":[0.8622628,0.08286795,0.02055134,0.01246517,0.01276656,0.00908608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004921975,0.0002435174,0.05968739,0.002971276,0.001423124,0.001361678,0.02817685,0.001489375,0.000738455,0.1002701,0.2328859,0.5702602],"study_design_scores_gemma":[0.0004640222,0.0006271455,0.08029924,0.01762131,0.002288496,0.001239865,0.02001115,0.001851581,0.001782917,0.1143723,0.7590742,0.0003677754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1243214,0.05157321,0.01386453,0.6978515,0.00880025,0.0004022227,0.0006973235,0.0004764688,0.1020132],"genre_scores_gemma":[0.8547052,0.01805242,0.008933175,0.09787121,0.003388328,0.0006201486,0.0004128654,0.0001956863,0.01582087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05188684,"threshold_uncertainty_score":0.2744071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06772396631821112,"score_gpt":0.3743571479111803,"score_spread":0.3066331815929692,"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."}}