{"id":"W628605331","doi":"","title":"An International Inventory of Interlock Programs","year":2005,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Interlock; Resource (disambiguation); Public relations; Public administration; Computer security; Political science; Computer science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006351972,0.000980216,0.0004962991,0.03133596,0.001696496,0.004138849,0.001988139,0.0004718164,0.03013758],"category_scores_gemma":[0.009684968,0.0007376211,0.0006361533,0.02290671,0.0007254667,0.006511166,0.003377452,0.001721714,0.004304954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042426,"about_ca_system_score_gemma":0.01480426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02640014,"about_ca_topic_score_gemma":0.0328467,"domain_scores_codex":[0.9943773,0.0009604449,0.0006530536,0.0007609934,0.002436317,0.0008118199],"domain_scores_gemma":[0.9799821,0.002761354,0.003410195,0.002528566,0.008763349,0.002554386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001976473,0.0007042766,0.06974817,0.0009629506,0.00006366272,0.000131719,0.004859905,0.004604202,0.001356652,0.03236318,0.07545358,0.8095542],"study_design_scores_gemma":[0.00001977496,0.0005201776,0.1607184,0.001262844,0.00006351488,0.0002818419,0.008549612,0.003100313,0.001498039,0.004982992,0.81889,0.0001125217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1536535,0.006762795,0.07001919,0.00267462,0.0005612337,0.003967369,0.07228835,0.003065271,0.6870078],"genre_scores_gemma":[0.4396832,0.02160518,0.1518692,0.001096692,0.0004933986,0.006657257,0.1637868,0.002029037,0.2127792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03133596,"threshold_uncertainty_score":0.1008202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009339785226475385,"score_gpt":0.2238010227696719,"score_spread":0.2144612375431965,"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."}}