{"id":"W2114488387","doi":"10.6000/1929-4409.2015.04.01","title":"A Multilevel Analysis of Registered Sex Offender Violation Status: The Role of Neighborhood Disadvantage and Social Services","year":2015,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Disadvantage; Multilevel model; Logistic regression; Criminology; Census; Psychology; Demographic economics; Political science; Sociology; Demography; Medicine; Economics; Law; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243352,0.0001984092,0.0004300249,0.001704256,0.001160736,0.0008303812,0.0005982598,0.0002755338,0.002433266],"category_scores_gemma":[0.005771378,0.0001503023,0.001261185,0.001441169,0.0003450493,0.0006754607,0.00170765,0.0008719882,0.0001133083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008435381,"about_ca_system_score_gemma":0.001231602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06753786,"about_ca_topic_score_gemma":0.09301717,"domain_scores_codex":[0.9987262,0.0005744926,0.00007336427,0.0001575727,0.000211586,0.000256864],"domain_scores_gemma":[0.997066,0.0009081569,0.0007935527,0.0003910511,0.0004492767,0.0003920074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006722644,0.0000512374,0.994078,0.00002024053,0.0003225177,0.0000907238,0.000442724,0.000253382,0.0002232185,0.0005377928,0.0002038234,0.003709019],"study_design_scores_gemma":[0.000005325799,0.0001370407,0.9940094,0.00003207965,0.0002527598,0.00007730284,0.00175642,0.002835606,0.0001221595,0.000232744,0.0005297097,0.000009525225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977058,0.00008758366,0.0006949432,0.0001481756,0.000004774703,0.00002668182,0.0004538495,0.000009420693,0.0008688112],"genre_scores_gemma":[0.9989483,0.00003789891,0.0006060253,0.0000116526,0.000003213245,0.000023874,0.0002054117,0.000002979337,0.0001606366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06753786,"threshold_uncertainty_score":0.1342894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164753968474767,"score_gpt":0.4043806116157571,"score_spread":0.2879052147682803,"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."}}