{"id":"W4229441988","doi":"10.1080/15389588.2022.2062333","title":"Investigating the severity of non-urban road traffic accidents in typical regions of Sichuan and Guizhou, China","year":2022,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"China; Transport engineering; Ordered probit; Truck; Traffic accident; Pedestrian; Road accident; Accident (philosophy); Poison control; Geography; Environmental health; Environmental science; Statistics; Engineering; Medicine; Mathematics","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":[0.001180916,0.0004502668,0.0002591466,0.002645481,0.0005232886,0.00054731,0.0004503338,0.0002808076,0.001040515],"category_scores_gemma":[0.002313994,0.0001710797,0.0007014929,0.001893558,0.0003910248,0.0004252006,0.0005299485,0.0001686642,0.00008434246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260684,"about_ca_system_score_gemma":0.001586616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06751219,"about_ca_topic_score_gemma":0.08977772,"domain_scores_codex":[0.9991021,0.0001752534,0.0001388579,0.0001996254,0.0002313808,0.0001527643],"domain_scores_gemma":[0.9983441,0.0002374706,0.0007836965,0.0001038216,0.0003415617,0.0001893808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001837024,0.00001136467,0.997743,0.00001637523,0.00004793884,0.00005115897,0.0001543629,0.0002310588,0.0001326863,0.00003354214,0.00004472637,0.00151547],"study_design_scores_gemma":[0.000001106629,0.00001877504,0.9992058,0.000003011865,0.00001757527,0.00002626175,0.0002130509,0.0003918326,0.00005073801,0.00001741359,0.00005212274,0.000002235332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992172,0.00008174994,0.0002003459,0.00002135481,0.000001867857,0.00001413773,0.0002345341,0.00000464865,0.0002241514],"genre_scores_gemma":[0.9994438,0.00003368263,0.00009604573,0.000003673325,0.000001983244,0.000009262593,0.0003258364,5.683117e-7,0.00008512702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06751219,"threshold_uncertainty_score":0.1342384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009715687084962768,"score_gpt":0.2408026063415161,"score_spread":0.2310869192565533,"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."}}