{"id":"W4246755594","doi":"10.32920/ryerson.14658255","title":"Network Screening Methods to Identify Roadway Sites for Safety Investigation: An Examination of Some Critical Issues","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Negative binomial distribution; Variable (mathematics); Computer science; Range (aeronautics); Key (lock); Regression analysis; Statistics; Function (biology); Transport engineering; Data mining; Mathematics; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008383394,0.0006688008,0.0005833721,0.002803267,0.0006193969,0.001286871,0.001048745,0.0006267049,0.001928395],"category_scores_gemma":[0.02928997,0.0003298208,0.0004712301,0.002336268,0.0007971218,0.001775613,0.0008090159,0.0007875313,0.0002823518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747973,"about_ca_system_score_gemma":0.001497152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008995872,"about_ca_topic_score_gemma":0.0101476,"domain_scores_codex":[0.9949869,0.002854977,0.0001427255,0.0003267249,0.001564472,0.0001242224],"domain_scores_gemma":[0.9742901,0.0190739,0.001193146,0.001096637,0.004129577,0.0002164901],"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":[0.000174408,0.0002982789,0.04369537,0.0007468975,0.0001441377,0.0002269595,0.0007122374,0.1845415,0.004507439,0.07690429,0.008300042,0.6797485],"study_design_scores_gemma":[0.00003252083,0.0002593763,0.02243751,0.0002691973,0.00007651801,0.0003120192,0.0009548438,0.9083492,0.007401726,0.04756187,0.01226574,0.00007945097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1348772,0.007962918,0.837148,0.003534617,0.0001415064,0.0004668318,0.0002287342,0.0003543154,0.01528587],"genre_scores_gemma":[0.6425408,0.007107486,0.3431658,0.0002934294,0.0001594531,0.0003217428,0.0002803209,0.000129368,0.006001639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008995872,"threshold_uncertainty_score":0.04433614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404607928164785,"score_gpt":0.4390505832918545,"score_spread":0.2985897904753759,"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."}}