{"id":"W4237750302","doi":"10.1136/injuryprev-2014-041455","title":"Global news highlights","year":2014,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute of Mining, Metallurgy and Petroleum","funders":"","keywords":"Forensic engineering; Poison control; Engineering; Medicine; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006092808,0.00007054664,0.00007046487,0.00001698212,0.00002993718,0.00001118274,0.0000648298,0.00005784752,0.00006233463],"category_scores_gemma":[0.00000359606,0.0000653078,0.00005052214,0.00007958106,0.000007955407,0.00008428934,0.00001016342,0.00003582651,0.0002295093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003699455,"about_ca_system_score_gemma":0.000003988217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005341938,"about_ca_topic_score_gemma":0.00003056564,"domain_scores_codex":[0.9995916,0.00002085087,0.0001155685,0.00008525605,0.0000719731,0.0001146942],"domain_scores_gemma":[0.9998111,0.000004694852,0.00001279725,0.0001245528,0.000008116967,0.0000388008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002999792,0.00007749995,0.002961006,0.00007750119,0.00006711209,0.00000145828,0.00007301366,0.01153355,0.0007872491,0.06243277,0.05778181,0.864177],"study_design_scores_gemma":[0.0006950679,0.000171632,0.1492041,0.00007309563,0.00004928645,0.000008303366,0.0000170938,0.01849451,0.001341174,0.01543272,0.8140519,0.0004611051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7026876,0.0001627141,0.192121,0.0002012308,0.002230135,0.000193221,0.00001232212,0.001383456,0.1010083],"genre_scores_gemma":[0.9983258,0.00002870061,0.0008279815,0.00001883874,0.0001870289,0.000005190883,0.00001063733,0.000008513078,0.0005873406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8637159,"threshold_uncertainty_score":0.2949954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005503354502909329,"score_gpt":0.2279333304601757,"score_spread":0.2224299759572664,"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."}}