{"id":"W2043583608","doi":"","title":"Specificity analysis of safety enhancement for rural roads in China","year":2012,"lang":"en","type":"article","venue":"World Automation Congress","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Rural area; China; Transport engineering; Business; Investment (military); Speed limit; Environmental planning; Engineering; Geography","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":[0.0009612793,0.0004820771,0.0003111351,0.004231154,0.0009448922,0.0009834886,0.0005455547,0.0003119213,0.003172893],"category_scores_gemma":[0.002852694,0.0002801041,0.0007677593,0.002927085,0.0004466393,0.0008657393,0.0008009639,0.0002375977,0.0003537716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533595,"about_ca_system_score_gemma":0.002524834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04875347,"about_ca_topic_score_gemma":0.03764755,"domain_scores_codex":[0.9987189,0.0001909524,0.00009376423,0.000224402,0.000485318,0.0002867019],"domain_scores_gemma":[0.9971278,0.0004235029,0.0005787607,0.0001542789,0.001511943,0.0002036306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001357716,0.0000876903,0.935635,0.00012435,0.000112314,0.0005308123,0.000570502,0.01762395,0.002845756,0.003264833,0.001020199,0.03804887],"study_design_scores_gemma":[0.00001157316,0.000124549,0.9499816,0.00002271712,0.0001481634,0.0002511066,0.001387508,0.04252896,0.001489316,0.001687116,0.002341459,0.00002587828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894938,0.00009998064,0.003525619,0.00007845191,0.000003778577,0.00006775514,0.0003903562,0.00003583039,0.006304471],"genre_scores_gemma":[0.9978518,0.00006651627,0.0005682565,0.000009683189,0.000002411281,0.00001465998,0.0004765637,0.000004227134,0.001005929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04875347,"threshold_uncertainty_score":0.09693938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254370194290825,"score_gpt":0.2443374166359229,"score_spread":0.2317937146930146,"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."}}