{"id":"W1523967067","doi":"","title":"Transportation Barrier Early Warning and Response System","year":2007,"lang":"en","type":"article","venue":"11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED)Transport CanadaTransportation Research Board","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safeguard; Agency (philosophy); Business; Warning system; Transport engineering; Action (physics); Computer security; Risk analysis (engineering); Computer science; Engineering; Telecommunications; International trade; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002840975,0.0006515073,0.0007267903,0.0008020132,0.0007776474,0.0001163166,0.0003210719,0.0004425428,0.0002438076],"category_scores_gemma":[0.00002250189,0.0006883785,0.0002761389,0.000583413,0.0006696125,0.0009001751,0.000001795589,0.0008803026,0.000002644928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879879,"about_ca_system_score_gemma":0.0003000681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621664,"about_ca_topic_score_gemma":0.05432449,"domain_scores_codex":[0.9952073,0.0001067375,0.001272305,0.001073994,0.001255476,0.00108416],"domain_scores_gemma":[0.9974353,0.0005497412,0.0001209361,0.0003689542,0.0005772937,0.0009477523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03796117,0.0008478708,0.650347,0.006704427,0.002966495,0.0007948179,0.05983455,0.007999982,0.03669426,0.1640071,0.0001878163,0.03165459],"study_design_scores_gemma":[0.00396157,0.0007754744,0.9715814,0.0004440517,0.0004224189,0.00001175048,0.01079849,0.003350183,0.001555739,0.0008291551,0.005204816,0.001064935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577972,0.0002407236,0.03471312,0.0008043028,0.0002593613,0.001254209,0.003202721,0.0003147498,0.001413669],"genre_scores_gemma":[0.9964699,0.0006566396,0.0008271338,0.00007559092,0.00008017369,0.0002102478,0.001344478,0.00009012245,0.0002457432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3212344,"threshold_uncertainty_score":0.9995567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03937159129461966,"score_gpt":0.3119972217425435,"score_spread":0.2726256304479239,"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."}}