{"id":"W3190652583","doi":"10.1108/jm2-10-2020-0268","title":"Knowledge discovery in research on policing strategies: an overview of the past fifty years","year":2021,"lang":"en","type":"article","venue":"Journal of Modelling in Management","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Theme (computing); Latent Dirichlet allocation; Political science; Sociology; Criminology; Public relations; Library science; Computer science; Topic model; Law; World Wide Web","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":[0.002493153,0.00004195718,0.0001177274,0.0002258683,0.00007280561,0.000109566,0.0002954284,0.00002596573,0.00006496136],"category_scores_gemma":[0.00001500648,0.0000335222,0.0001009287,0.0004945919,0.00005495574,0.0002733258,0.00008449192,0.0002659383,0.000002086146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169426,"about_ca_system_score_gemma":0.00009810789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761529,"about_ca_topic_score_gemma":0.004737072,"domain_scores_codex":[0.9985908,0.0003852198,0.0003590371,0.00008892762,0.0004093561,0.0001666106],"domain_scores_gemma":[0.9995465,0.00006803885,0.000112388,0.0001474602,0.000100055,0.00002559717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004454157,0.001606838,0.01364753,0.0003800255,0.00006546844,0.0001008432,0.03632078,0.6821919,0.00008739057,0.2565905,0.001259005,0.00770513],"study_design_scores_gemma":[0.00282412,0.0007496377,0.3475998,0.02015286,0.0001031753,0.000005443468,0.4363054,0.05599292,0.0002875771,0.1099436,0.02547087,0.0005645546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797151,0.0005632013,0.002049917,0.0006009525,0.0001985957,0.00008855579,0.000001250472,0.000001287003,0.01678112],"genre_scores_gemma":[0.9972759,0.001615709,0.0001414834,0.00002024327,0.00008987683,0.000001473829,2.192397e-7,0.000004413765,0.0008506031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.626199,"threshold_uncertainty_score":0.2662916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5316142737766568,"score_gpt":0.5407845370104474,"score_spread":0.009170263233790554,"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."}}