{"id":"W1993311289","doi":"10.3138/cjccj.2013.e39","title":"Research Access Barriers as Reputational Risk Management: A Case Study of Censorship in Corrections","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prison; Criminal justice; Censorship; Public relations; Service (business); Reputation; Economic Justice; Criminology; Political science; Sociology; Business; Law; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008067992,0.0003083215,0.0006361967,0.003005833,0.001292534,0.0002354653,0.0009031704,0.0004453154,0.0001383271],"category_scores_gemma":[0.0144644,0.0003508739,0.000145978,0.0009572654,0.001398534,0.0005815445,0.0001077485,0.001829243,0.000006572958],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826029,"about_ca_system_score_gemma":0.008006638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5876408,"about_ca_topic_score_gemma":0.8760041,"domain_scores_codex":[0.9932327,0.003312872,0.000976072,0.0005298188,0.0003493741,0.001599154],"domain_scores_gemma":[0.9921517,0.002565163,0.0005844607,0.0003996338,0.001774243,0.00252481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006624514,0.0004844829,0.03645488,0.001130431,0.0004432144,0.07317784,0.7691255,0.01199418,0.000008901948,0.07643771,0.0009579989,0.02912238],"study_design_scores_gemma":[0.001029021,0.0010388,0.009008058,0.0001409505,0.009399479,0.008927802,0.9643427,0.0002784634,0.000007739267,0.004208039,0.001311244,0.0003076918],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886551,0.0007434684,0.0004864209,0.0006506857,0.0007856507,0.0003581331,0.00001941668,0.00001889909,0.008282233],"genre_scores_gemma":[0.9974585,0.0009609803,0.0006579963,0.0002882275,0.0002859575,0.00004430455,0.000003504253,0.00003098347,0.0002696071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2883632,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2358281827332475,"score_gpt":0.4315391229265387,"score_spread":0.1957109401932911,"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."}}