{"id":"W151826073","doi":"","title":"Reducing crime through physical modification: Evaluating the use of situational crime prevention strategies in a rapid transit environment in British Columbia","year":2010,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situational ethics; Transit (satellite); Crime prevention; Criminology; Engineering; Transport engineering; Business; Psychology; Public transport; Social psychology","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":[0.0009550897,0.000546264,0.0004798611,0.0004292924,0.002212745,0.0009165613,0.001470802,0.0005300142,0.001468057],"category_scores_gemma":[0.002581422,0.0004437274,0.0003145303,0.0006351615,0.0007908695,0.0003067466,0.0005141297,0.0009200808,0.0002164328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120279,"about_ca_system_score_gemma":0.01935447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8838539,"about_ca_topic_score_gemma":0.9639317,"domain_scores_codex":[0.9991135,0.0002761217,0.00003646742,0.00007205078,0.0002430128,0.0002589225],"domain_scores_gemma":[0.998158,0.0002081731,0.0001350013,0.000047044,0.0007837773,0.0006678898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01443373,0.1037193,0.5195769,0.001765487,0.001052041,0.001184725,0.02126731,0.009424287,0.01723157,0.0007307281,0.009685525,0.2999284],"study_design_scores_gemma":[0.0009162816,0.03430253,0.9364328,0.0001721233,0.0003753034,0.0000496888,0.01822994,0.002986859,0.002286034,0.0001108754,0.004043782,0.00009389024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985745,0.00004304828,0.00002481295,0.00006186721,0.000002910717,0.0003012435,0.00007131882,0.00000282118,0.0009174726],"genre_scores_gemma":[0.9941567,0.0004568364,0.0006995275,0.0001759017,0.000003885478,0.0006439125,0.0003578393,0.00000560298,0.003499656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1161461,"threshold_uncertainty_score":0.2336602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338700500342136,"score_gpt":0.2488060692658166,"score_spread":0.214936019231603,"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."}}