{"id":"W7087111843","doi":"10.35422/cwsk.2025.89.61","title":"Measures to strengthen the identity and professionalism of social workers in correctional welfare practice","year":2025,"lang":"en","type":"article","venue":"The Correction Welfare Society of Korea","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social work; Identity (music); Social Welfare; Welfare; Multidisciplinary approach; Recidivism","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":[],"consensus_categories":[],"category_scores_codex":[0.001532222,0.0001128455,0.00017744,0.00007307997,0.0007683273,0.00009097483,0.0005236301,0.00007484767,0.00001572089],"category_scores_gemma":[0.0004164024,0.00007574812,0.0001057444,0.0008426719,0.000146669,0.0006576747,0.0002944957,0.0002510458,0.000001073701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006228965,"about_ca_system_score_gemma":0.0001112502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003293587,"about_ca_topic_score_gemma":0.00004306416,"domain_scores_codex":[0.9986488,0.0001644237,0.0004409356,0.0001670391,0.0004362466,0.0001425955],"domain_scores_gemma":[0.998594,0.0003337812,0.0003984714,0.0002251513,0.0004276718,0.00002091349],"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":[0.0001446031,0.0004489654,0.00494607,0.0007467649,0.0003097904,3.247455e-7,0.2691451,0.00449712,0.0001384518,0.2975874,0.07563733,0.346398],"study_design_scores_gemma":[0.001923773,0.0001460176,0.1845556,0.001136742,0.0001500457,0.00006004832,0.3566795,0.3412144,0.001765022,0.0147647,0.09685986,0.0007442785],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314403,0.000470547,0.6771863,0.1635791,0.007443995,0.001316412,0.00001048575,0.0002345888,0.01831829],"genre_scores_gemma":[0.9958939,0.00001419789,0.002858817,0.0007483412,0.00003605366,0.00001846165,0.000001797028,0.000004352995,0.0004240944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8644536,"threshold_uncertainty_score":0.590943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805231703624105,"score_gpt":0.3076653513736211,"score_spread":0.27961303433738,"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."}}