{"id":"W2018282464","doi":"10.1097/jfn.0b013e31827a1f66","title":"Total Control","year":2013,"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":"Control (management); Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512338,0.00004223333,0.0001318862,0.0001097718,0.000234795,0.0000847195,0.0000723283,0.00003236235,0.0003288463],"category_scores_gemma":[0.0001297012,0.00003499831,0.0001431445,0.0001823644,0.0001371871,0.000302352,0.000001893047,0.0001105852,0.00003059984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123263,"about_ca_system_score_gemma":0.00008895632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011273,"about_ca_topic_score_gemma":0.0001848907,"domain_scores_codex":[0.9992878,0.00005588251,0.0002015507,0.00004234919,0.0002614672,0.0001509889],"domain_scores_gemma":[0.9992568,0.00007896897,0.0001691262,0.00004737672,0.0003470457,0.0001006559],"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":[0.00001783846,0.00006376042,0.0004957908,0.000001935892,0.00004642314,0.000008934951,0.01307418,0.0001104172,0.0005437759,0.00144354,0.009787746,0.9744056],"study_design_scores_gemma":[0.001101735,0.0004141149,0.009564215,0.000459608,0.001357384,0.0002967273,0.9679164,0.001408909,0.0003847405,0.01024821,0.006555754,0.000292168],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782596,0.0002717929,0.006183207,0.003024342,0.001312421,0.00004844064,2.278718e-7,0.000008278444,0.01089164],"genre_scores_gemma":[0.9980406,0.00002236079,0.0007036954,0.0001061613,0.0007970044,4.782368e-7,7.171187e-8,0.000003300861,0.0003263159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741135,"threshold_uncertainty_score":0.3600636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278590461656948,"score_gpt":0.3005629221478247,"score_spread":0.2877770175312552,"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."}}