{"id":"W3043225919","doi":"10.52922/ti04480","title":"Understanding the structure and composition of co-offending networks in Australia","year":2020,"lang":"en","type":"book","venue":"Australian Institute of Criminology eBooks","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminology; Project commissioning; Co-occurrence; Psychology; Publishing; Engineering; Sociology; Political science; Computer security; Law; Computer science","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":[0.00064347,0.0001669844,0.0002431295,0.002586894,0.001960179,0.001966309,0.0007280823,0.0003928592,0.002294899],"category_scores_gemma":[0.004572805,0.0003007087,0.0001365557,0.002260536,0.001481938,0.003056298,0.003062079,0.0008248401,0.0003248986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002548371,"about_ca_system_score_gemma":0.002438152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1516136,"about_ca_topic_score_gemma":0.2712043,"domain_scores_codex":[0.9993529,0.0002302446,0.00002758511,0.0001058125,0.0001552359,0.000128159],"domain_scores_gemma":[0.9984016,0.0004178465,0.0004789458,0.00007469,0.0003173004,0.0003096825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005286652,0.0001662579,0.5930367,0.0002717011,0.00004843321,0.00114146,0.2200206,0.001305706,0.002013442,0.0180224,0.003604754,0.1603158],"study_design_scores_gemma":[0.000001437247,0.0000318615,0.9355316,0.0001405112,0.00001530686,0.0004000779,0.04963001,0.002764913,0.0001273446,0.005046299,0.006298454,0.0000121548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808547,0.001205154,0.0009727793,0.00125981,0.000008297934,0.00005086326,0.000103171,0.000008406508,0.0155368],"genre_scores_gemma":[0.9918439,0.001796523,0.001196585,0.00009270568,0.000007540983,0.00005900683,0.0001209989,0.000008659463,0.004873983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516136,"threshold_uncertainty_score":0.3014622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.322999246464757,"score_gpt":0.3817733425741645,"score_spread":0.05877409610940754,"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."}}