{"id":"W562354095","doi":"","title":"SMART MODERN TIMES","year":2004,"lang":"en","type":"article","venue":"EUROTRANSPORT","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart card; Public transport; Business; Climate change; Telecommunications; Commerce; Engineering; Computer security; Computer science; Transport 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008323682,0.000546727,0.0002448091,0.0006926896,0.003159297,0.008418131,0.0004315973,0.002247253,0.06745914],"category_scores_gemma":[0.002631698,0.0001590301,0.0002664035,0.001417342,0.001877799,0.007291679,0.003357124,0.003358088,0.01804889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170552,"about_ca_system_score_gemma":0.001718628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566121,"about_ca_topic_score_gemma":0.005988326,"domain_scores_codex":[0.9993601,0.0001258881,0.00003047968,0.0001070542,0.0002195379,0.0001568232],"domain_scores_gemma":[0.9993922,0.00008419337,0.00007298416,0.00009773421,0.000116657,0.0002362502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004482263,0.00001871892,0.0008973351,0.0001238837,0.00001058386,0.0001570686,0.003049178,0.0001126526,0.0004613892,0.3012206,0.600558,0.09334586],"study_design_scores_gemma":[0.000001065995,0.000005151077,0.0004243903,0.00002908465,0.000001330774,0.00004776403,0.000533937,0.0000196025,0.00003738759,0.006168303,0.9927284,0.00000361189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009456487,0.02487839,0.003664914,0.1003838,0.01679046,0.00004912857,0.00122904,0.0004714818,0.8430763],"genre_scores_gemma":[0.1431149,0.02824688,0.004342002,0.03815157,0.006257766,0.000112561,0.001497959,0.0003313409,0.777945],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06745914,"threshold_uncertainty_score":0.2256733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062667947736387,"score_gpt":0.2053032478882095,"score_spread":0.1946765684108456,"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."}}