{"id":"W2894326129","doi":"","title":"Study on community correction system in Canada","year":2016,"lang":"en","type":"article","venue":"Korean Police Studies Review","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0003813682,0.0001506131,0.0003892012,0.00003594092,0.0001221292,0.00001787365,0.000523913,0.000009273976,7.828512e-7],"category_scores_gemma":[0.00008373067,0.00008660514,0.00003990853,0.0003897898,0.00003239679,0.000166657,0.0003328775,0.0001136335,0.00004622678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007839783,"about_ca_system_score_gemma":0.0001567233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.708613,"about_ca_topic_score_gemma":0.9242097,"domain_scores_codex":[0.9987592,0.0002760059,0.0003094662,0.0001833528,0.0002464259,0.0002255906],"domain_scores_gemma":[0.9988587,0.0002586342,0.0000989326,0.0006425894,0.0000834293,0.00005769166],"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":[0.000004164863,0.000259403,0.00825024,0.00107606,0.0001320166,0.00004019557,0.004121347,0.000001229652,8.464551e-7,0.01076969,0.0923357,0.8830091],"study_design_scores_gemma":[0.00565459,0.004172218,0.5160999,0.1096676,0.0003626918,0.0004357745,0.1136225,0.0001364619,0.0004026092,0.001812928,0.2434684,0.004164361],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4659936,0.07971752,0.0006744947,0.0106273,0.01091241,0.005678806,0.00007508826,0.0009261296,0.4253946],"genre_scores_gemma":[0.9950178,0.003433793,0.00001095687,0.001174035,0.00003002324,0.00004758074,4.222257e-7,0.000006041123,0.000279389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8788447,"threshold_uncertainty_score":0.3531655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099626171117201,"score_gpt":0.2881175288309095,"score_spread":0.2371212671197375,"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."}}