{"id":"W612234685","doi":"","title":"Success by any other name would smell as sweet: different perspectives on success in public transport systems","year":2006,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Set (abstract data type); Meaning (existential); Transport system; Transport engineering; Public relations; Sociology; Business; Computer science; Engineering; Psychology; Political science","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":[0.001874018,0.0003016416,0.0004144868,0.0006402792,0.0007796988,0.0001822693,0.0006598156,0.0004804821,0.0007351513],"category_scores_gemma":[0.00003101679,0.0002799389,0.0001458579,0.001237143,0.0005942998,0.0006108947,0.000004395473,0.001054182,0.00005813735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635647,"about_ca_system_score_gemma":0.0003635911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06479299,"about_ca_topic_score_gemma":0.04671606,"domain_scores_codex":[0.994693,0.0003946418,0.0006107446,0.0007549944,0.002086471,0.001460122],"domain_scores_gemma":[0.9986842,0.000189478,0.0001080494,0.0003295338,0.0003600356,0.0003287277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001791487,0.0007863302,0.8942223,0.00006570698,0.00002845629,0.00006541883,0.01153906,0.002415669,0.00009917915,0.0895233,0.000930355,0.0001450952],"study_design_scores_gemma":[0.002115124,0.0003760857,0.8444355,0.0002991708,0.00002553371,0.000001397615,0.04373244,0.0002934433,0.0003326334,0.001002651,0.10655,0.0008360698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359353,0.0008994592,0.0008961774,0.005379473,0.0001967322,0.001068831,0.0002089512,0.000230914,0.05518414],"genre_scores_gemma":[0.9900917,0.0003773162,0.00001775056,0.00006273709,0.0001400786,0.0001693478,0.0004034501,0.00005768948,0.008679973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1056196,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136144277795073,"score_gpt":0.3526840996266569,"score_spread":0.3113226568487061,"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."}}