{"id":"W7139974321","doi":"10.5281/zenodo.19145938","title":"Confirmatory Factor Analyses of the Level of Service Inventory-Revised","year":2019,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recidivism; Confirmatory factor analysis; Exploratory factor analysis; Set (abstract data type); Psychometrics; Risk assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03277184,0.001445935,0.001255288,0.003850923,0.001862809,0.002074495,0.001100459,0.0005420212,0.005546289],"category_scores_gemma":[0.1179701,0.0008709241,0.003134758,0.003944494,0.0009458619,0.001240254,0.001670494,0.002980812,0.002269916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597251,"about_ca_system_score_gemma":0.008309104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008580138,"about_ca_topic_score_gemma":0.01068102,"domain_scores_codex":[0.9782631,0.008566243,0.001675986,0.002009075,0.008793873,0.0006917345],"domain_scores_gemma":[0.9067075,0.03990856,0.004373406,0.007288497,0.04093132,0.0007906933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008769984,0.001796115,0.4347912,0.001726016,0.001279319,0.0005978927,0.02697177,0.006756343,0.005819204,0.01952645,0.03000393,0.4698546],"study_design_scores_gemma":[0.00115442,0.003718217,0.7820995,0.002043905,0.001640733,0.0009883095,0.02591988,0.05490238,0.01362348,0.03262069,0.08067065,0.0006178398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6634435,0.0008099308,0.2631557,0.002075632,0.0007556625,0.02344095,0.01219155,0.001424628,0.03270238],"genre_scores_gemma":[0.7324203,0.0006652696,0.2219647,0.00046795,0.0001220984,0.02840054,0.01020651,0.0004253085,0.005327418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03277184,"threshold_uncertainty_score":0.1733161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2920000296119188,"score_gpt":0.405209380476591,"score_spread":0.1132093508646722,"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."}}