{"id":"W4389431965","doi":"10.3390/safety9040088","title":"Linking Deployment Outcomes to Program Impacts for Mobile Photo Enforcement","year":2023,"lang":"en","type":"article","venue":"Safety","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Software deployment; Survivability; Enforcement; Duration (music); Collision; Transport engineering; Law enforcement; Computer security; Computer science; Engineering; Computer network; Political science; Physics","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":[0.003344026,0.0002870062,0.0002158201,0.001170528,0.0006302348,0.0009949768,0.0006625983,0.0004525056,0.005239376],"category_scores_gemma":[0.02013742,0.0001942784,0.0004733169,0.0009664886,0.0004740806,0.0007920842,0.001914557,0.00117413,0.0003133914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466537,"about_ca_system_score_gemma":0.001140562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005861806,"about_ca_topic_score_gemma":0.01052835,"domain_scores_codex":[0.997825,0.001023923,0.000135315,0.0002278281,0.0003501965,0.0004377164],"domain_scores_gemma":[0.9877204,0.005235837,0.004175301,0.0005361342,0.0009604281,0.001371898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005135916,0.00183546,0.9526358,0.0001402493,0.0001975898,0.0001219649,0.00137955,0.001042955,0.0004854164,0.000483848,0.000520824,0.04064276],"study_design_scores_gemma":[0.000005842035,0.0005298394,0.9967076,0.00002875866,0.00003856313,0.00002222424,0.001531909,0.0005135684,0.0001480031,0.00008696463,0.0003815341,0.000005233715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968672,0.00008246824,0.0003849536,0.0002044245,0.00001398774,0.00009476361,0.0002213773,0.00001637647,0.0021144],"genre_scores_gemma":[0.9987488,0.0001126803,0.000289972,0.00002938565,0.000008919509,0.00008584351,0.0001824048,0.000005522674,0.0005363642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005861806,"threshold_uncertainty_score":0.01768512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507548388889955,"score_gpt":0.2854529027711348,"score_spread":0.2703774188822353,"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."}}