{"id":"W297314987","doi":"10.17226/22195","title":"Open Data: Challenges and Opportunities for Transit Agencies","year":2015,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Computer science; Internet privacy; Business; Data science; Transport engineering; Engineering; Public transport","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":[0.001541251,0.0003650266,0.0005247579,0.0004395116,0.0001907661,0.0001837925,0.001152584,0.0003795725,0.00004087989],"category_scores_gemma":[0.00001692641,0.0004024623,0.00006672537,0.00004647593,0.0003713981,0.000424647,0.00002806423,0.0006031222,0.000008984774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144892,"about_ca_system_score_gemma":0.001090538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006163465,"about_ca_topic_score_gemma":0.008432967,"domain_scores_codex":[0.9974793,0.00004850309,0.0006623365,0.0006222083,0.0007160004,0.0004717005],"domain_scores_gemma":[0.9977883,0.0002292784,0.00006399176,0.0008520975,0.0007912445,0.0002750718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002253857,0.00004500593,0.000003206375,0.004313941,0.0006847506,0.00007266826,0.01534346,0.0002858919,0.0001229977,0.4224809,0.3842556,0.1721662],"study_design_scores_gemma":[0.0008720873,0.0001184762,0.0003975263,0.00020303,0.0001193239,6.175165e-7,0.002463237,0.0003849786,0.00003800727,0.01508137,0.9798703,0.0004510073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007576807,0.007094111,0.00345542,0.001423003,0.0004275444,0.00542598,0.01092225,0.001025341,0.9694687],"genre_scores_gemma":[0.01912683,0.01319331,0.003714533,0.000220867,0.0004590889,0.002187328,0.02313431,0.0004650118,0.9374987],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5956147,"threshold_uncertainty_score":0.9998427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5432801677344464,"score_gpt":0.4019768985033521,"score_spread":0.1413032692310943,"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."}}