{"id":"W4238852074","doi":"10.1007/978-3-319-41492-8","title":"Social Network Analysis in Predictive Policing","year":2016,"lang":"en","type":"book","venue":"Lecture notes in social networks","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Social network analysis; Sociology; Criminology; Social capital; Social science","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":[0.001332566,0.0009610797,0.000822084,0.001830816,0.0003487919,0.001283109,0.0008890926,0.0008384138,0.006503924],"category_scores_gemma":[0.00517734,0.0004625343,0.0006044708,0.002537742,0.0009806359,0.0029615,0.001088938,0.00161109,0.002207506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005727542,"about_ca_system_score_gemma":0.0004429724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002592986,"about_ca_topic_score_gemma":0.003745031,"domain_scores_codex":[0.9994647,0.0002585969,0.00002112938,0.00008721875,0.000147492,0.00002088365],"domain_scores_gemma":[0.9971872,0.002396282,0.00007586705,0.0001704923,0.000129325,0.00004079468],"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":[0.00004522253,0.00009335556,0.003618072,0.0003774119,0.0001957344,0.0001182216,0.0002403665,0.1310166,0.000354474,0.2445224,0.05960797,0.5598102],"study_design_scores_gemma":[0.00000498484,0.00001965387,0.00136438,0.000200549,0.00003194967,0.00008600986,0.0001123998,0.3285535,0.0003318081,0.6313048,0.03796387,0.00002608651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008340991,0.02904131,0.9227342,0.003971456,0.001271667,0.00006276809,0.0007902436,0.0006535366,0.03313385],"genre_scores_gemma":[0.4137781,0.05720478,0.4406402,0.0009450979,0.005291099,0.0004954994,0.00261192,0.0007511746,0.07828212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006503924,"threshold_uncertainty_score":0.02175772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306473190394551,"score_gpt":0.3432711841085268,"score_spread":0.3202064522045812,"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."}}