{"id":"W4247767094","doi":"10.1097/01263942-200709000-00005","title":"Nursing in Corrections: Lessons from France","year":2007,"lang":"en","type":"article","venue":"Journal of Forensic Nursing","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Forensic nursing; Legislation; Nursing; Restructuring; Grounded theory; Work (physics); Qualitative research; Nursing care; Health care; Nursing practice; Nursing research; Medicine; Psychology; Sociology; Political science; Poison control; Social science; Environmental health; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000855564,0.00007544197,0.0002094541,0.0003944329,0.0003528699,0.00005943418,0.0001265869,0.00007747598,0.00006547071],"category_scores_gemma":[0.0002389126,0.00007571036,0.0001463066,0.0007996243,0.0002497254,0.0002937961,0.000002821115,0.0003112795,0.000006461977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005603133,"about_ca_system_score_gemma":0.0001708386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003087746,"about_ca_topic_score_gemma":0.009418752,"domain_scores_codex":[0.9987669,0.00007359064,0.0004140514,0.0001035807,0.0003665535,0.0002753442],"domain_scores_gemma":[0.9990309,0.0002752986,0.0002795708,0.00008369512,0.0002193637,0.0001111028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004711502,0.0001850789,0.004904303,0.00000125975,0.00001767805,0.00003127315,0.04746414,0.0001822021,0.000330339,0.001018658,0.000625855,0.9451921],"study_design_scores_gemma":[0.0005169788,0.000115413,0.03957148,0.002552579,0.0004374444,0.00003828775,0.9393007,0.0003501069,0.0007345564,0.0119112,0.004243434,0.0002278013],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406755,0.001237053,0.04332165,0.001726874,0.003981971,0.00004288299,8.933108e-7,0.00001319934,0.008999961],"genre_scores_gemma":[0.9953279,0.0001610394,0.003223745,0.00006781393,0.001062342,2.4024e-7,5.300311e-7,0.000007134391,0.0001492219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9449643,"threshold_uncertainty_score":0.5255885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855105934504406,"score_gpt":0.3780991217400431,"score_spread":0.349548062394999,"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."}}