{"id":"W2965161939","doi":"10.5539/cis.v12n3p92","title":"A Predictive Framework of Speed Camera Locations for Road Safety","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Classifier (UML); Crash; Enforcement; Process (computing); Random forest; Artificial intelligence; Data mining; Machine learning; Real-time computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001479787,0.00003939237,0.00005448212,0.0001427829,0.00004298218,0.00003736605,0.0001037903,0.00001940262,0.000004278067],"category_scores_gemma":[0.000008699565,0.0000370632,0.00001071133,0.0002110067,0.00006161536,0.001707178,0.00003114973,0.0000332008,0.000006833672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001695839,"about_ca_system_score_gemma":0.00001390688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001444813,"about_ca_topic_score_gemma":6.221156e-8,"domain_scores_codex":[0.9996343,0.000001578592,0.000145126,0.00004668572,0.0001008113,0.00007144847],"domain_scores_gemma":[0.9997553,0.00001724865,0.00002704045,0.00009470238,0.00007941594,0.0000262508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002768514,0.00002377602,0.0005307397,0.0003845672,0.00003181113,3.064612e-8,0.006852471,0.1089707,0.0007449519,0.2154559,0.0142931,0.6526843],"study_design_scores_gemma":[0.0001351295,0.00005054161,0.01687472,0.00003032214,0.000002322891,6.134154e-7,0.00007138061,0.9700656,0.0009065462,0.0001007498,0.01171301,0.0000490707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01471994,0.000009236314,0.9791131,0.00003461546,0.000286858,0.000273066,0.00001264007,0.0003769216,0.005173643],"genre_scores_gemma":[0.9837399,0.00004406348,0.01606291,0.0001206169,0.00001471315,0.000005328595,0.000006658265,0.000001433166,0.000004362311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9690199,"threshold_uncertainty_score":0.1511393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005203368136017381,"score_gpt":0.2205256346889646,"score_spread":0.2153222665529472,"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."}}