{"id":"W2281597770","doi":"","title":"Geostatistical risk analysis of static and dynamic crime","year":2010,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Computer science; Risk analysis (engineering); Economics; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001935769,0.0001512193,0.0003691542,0.0009563137,0.0003329657,0.00004479389,0.0002637752,0.0002728659,0.003086296],"category_scores_gemma":[0.0001453687,0.000178868,0.0002646136,0.0009377506,0.0002254407,0.0001352317,0.0000294307,0.0003695238,0.00001530528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000077282,"about_ca_system_score_gemma":0.0001187692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02032135,"about_ca_topic_score_gemma":0.8782867,"domain_scores_codex":[0.9988191,0.0001820804,0.0002093477,0.0003064102,0.000272787,0.0002102406],"domain_scores_gemma":[0.9989817,0.0001931593,0.0002773549,0.0002023287,0.0002044459,0.0001410111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352752,0.0005058396,0.9240919,0.0003222886,0.004259838,0.0001065857,0.003667732,0.00002632463,0.00002405295,0.03167023,0.009456007,0.02563389],"study_design_scores_gemma":[0.0008873124,0.000205776,0.4244143,0.0002002512,0.01877233,1.305853e-9,0.4078608,0.001994061,0.00009766017,0.001760329,0.1428821,0.0009250405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725154,0.00008641071,0.0008650801,0.00003644585,0.0002961632,0.000162235,0.001029516,0.00003123891,0.02497752],"genre_scores_gemma":[0.9701511,0.0004862517,0.0002152267,0.000007944964,0.00001702753,5.428311e-7,0.001065218,0.00001285859,0.02804387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8579654,"threshold_uncertainty_score":0.997825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292048070370618,"score_gpt":0.2957519461459621,"score_spread":0.282831465442256,"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."}}