{"id":"W2908202864","doi":"","title":"Bibliometric analysis of Traffic Medicine – related publications: 2008 – 2015","year":2019,"lang":"en","type":"article","venue":"IUG Journal of Natural Studies","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Road traffic; Web of science; Geography; Medicine; Transport engineering; MEDLINE; Political science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005151789,0.0007603032,0.001550716,0.144387,0.001074288,0.004070287,0.0009231828,0.0006256778,0.005696168],"category_scores_gemma":[0.03802526,0.0002597742,0.00226604,0.1708249,0.0007587449,0.002441866,0.002085161,0.0005018555,0.001569125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265687,"about_ca_system_score_gemma":0.006784426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009760496,"about_ca_topic_score_gemma":0.009992609,"domain_scores_codex":[0.9879122,0.001191614,0.003534554,0.001048853,0.005669851,0.0006428657],"domain_scores_gemma":[0.9707367,0.01102194,0.007904416,0.0009729114,0.008605951,0.000758042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006240912,0.000186951,0.5294284,0.05706349,0.00319751,0.00153475,0.004435688,0.003252922,0.002035013,0.00537723,0.05383036,0.3390337],"study_design_scores_gemma":[0.00006363321,0.0001997163,0.809118,0.009098909,0.003375753,0.002778607,0.005483994,0.003545683,0.002383522,0.002837282,0.1609625,0.0001523815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5522742,0.140948,0.003824207,0.004349882,0.0006493855,0.001008669,0.2498155,0.001047143,0.046083],"genre_scores_gemma":[0.8363405,0.06981473,0.004604571,0.0003168446,0.0007064565,0.001001204,0.08214211,0.0001297363,0.004943688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.855613,"threshold_uncertainty_score":0.02724564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993017348047422,"score_gpt":0.295849673311439,"score_spread":0.2759194998309648,"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."}}