{"id":"W2558076337","doi":"10.1093/oxfordhb/9780199935383.013.21","title":"Social Network Analysis and Its Contribution to Research on Crime and Criminal Justice","year":2016,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Criminology; Social network analysis; Criminal justice; Crime control; Social control; Crime analysis; Network analysis; Sociology; Control (management); Political science; Data science; Computer science; Engineering; Social science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005902425,0.0001523718,0.0002711528,0.0003355866,0.001619916,0.0001051884,0.0002252188,0.0002722598,0.0002293521],"category_scores_gemma":[0.00003635079,0.0001595767,0.0001548124,0.00003668544,0.0003009784,0.0000762733,0.0002804127,0.0002948006,0.000003404255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013656,"about_ca_system_score_gemma":0.00005389323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630628,"about_ca_topic_score_gemma":0.0008613444,"domain_scores_codex":[0.9985322,0.0001785491,0.0001238497,0.0003895582,0.0004023282,0.0003734528],"domain_scores_gemma":[0.9989941,0.0001958105,0.00008912566,0.00012681,0.0003859594,0.000208253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001207963,0.000007575142,0.00001077327,0.00002821082,0.0002211232,0.00001553756,0.001103066,5.668866e-7,0.000004269914,0.9921874,0.003646154,0.002654517],"study_design_scores_gemma":[0.0002266798,0.0001172921,0.0002871474,0.0001246908,0.001744545,3.087538e-7,0.0004699803,0.000006911336,0.000009630638,0.001387322,0.9954287,0.0001968291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002437623,0.00007243045,0.0004498085,0.0002299524,0.00009587197,0.0003509367,0.0001977308,0.00003208478,0.9961336],"genre_scores_gemma":[0.1093422,0.0002394496,0.00001460468,0.00005236505,0.0004994631,0.0000012557,0.0000132865,0.00001177112,0.8898256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9917825,"threshold_uncertainty_score":0.9996799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133318219643712,"score_gpt":0.3794797306747876,"score_spread":0.2461615110310756,"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."}}