{"id":"W7028477304","doi":"","title":"Examining the Influence of Federal Victims Services Funding on Crime in Montana","year":2025,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Violent crime; State (computer science); Variety (cybernetics); Longitudinal data; Federal law; Federal funds; Federal court","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442694,0.0001001391,0.0001625888,0.001180987,0.001524744,0.001504919,0.0005475495,0.0003709877,0.002136849],"category_scores_gemma":[0.00917761,0.0001198269,0.0001767896,0.001272999,0.0008316039,0.0004859708,0.001548517,0.0007055145,0.000131815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040556,"about_ca_system_score_gemma":0.004265978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2696172,"about_ca_topic_score_gemma":0.4484372,"domain_scores_codex":[0.998168,0.0009999881,0.00003739896,0.0001328352,0.0001577218,0.000504123],"domain_scores_gemma":[0.9909863,0.003912832,0.002396067,0.0002633984,0.001068183,0.0013733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043921,0.000178135,0.9771522,0.00002106965,0.00006339775,0.000166287,0.002877038,0.0005969546,0.000269363,0.002694415,0.002653742,0.01322298],"study_design_scores_gemma":[0.000006621327,0.00006410634,0.9876666,0.00003677794,0.0000383131,0.00003858885,0.008227441,0.000619509,0.00016112,0.0002552011,0.002878599,0.000007082697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954957,0.0001174625,0.00006433725,0.001530689,0.000006659991,0.000006056402,0.0001323696,0.000004414268,0.002642327],"genre_scores_gemma":[0.9984213,0.0001248751,0.000101031,0.0001623343,0.000014141,0.00001890298,0.0001513181,0.000002804061,0.001003294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2696172,"threshold_uncertainty_score":0.5360957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900997035041269,"score_gpt":0.2396277191149654,"score_spread":0.1906177487645527,"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."}}