{"id":"W607487780","doi":"","title":"Overcoming Barriers to Using Social Media in Public Transportation: Summary of Findings from TCRP Synthesis SB-20","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Staffing; Transparency (behavior); Business; Public relations; Agency (philosophy); Internet privacy; Political science; Computer science; Computer security; Sociology; World Wide Web","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009476923,0.000464773,0.0009318276,0.002350559,0.002083516,0.0001929237,0.001068131,0.0007632704,0.001445215],"category_scores_gemma":[0.005525203,0.000554584,0.0003606081,0.005274591,0.001935326,0.001896049,0.00001442113,0.001734784,0.00005684091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328786,"about_ca_system_score_gemma":0.002568088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08113003,"about_ca_topic_score_gemma":0.2348987,"domain_scores_codex":[0.9845955,0.002970576,0.001794844,0.0009160918,0.006456127,0.003266824],"domain_scores_gemma":[0.9867333,0.007321035,0.0002676127,0.0003995588,0.002928713,0.002349788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004697521,0.0002457556,0.6046486,0.0001740664,0.00008685728,0.00004031279,0.371214,0.00006672055,0.004343806,0.01610453,0.001559453,0.001046095],"study_design_scores_gemma":[0.001167449,0.00009579003,0.6188509,0.0004901013,0.0000890365,6.091449e-8,0.340689,0.00002084407,0.00539133,0.001799792,0.03068423,0.0007214036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902849,0.0002511365,0.0001245991,0.003644938,0.0006708828,0.001490574,0.002174714,0.0001375665,0.001220745],"genre_scores_gemma":[0.995488,0.0002664867,0.001819416,0.0001145337,0.001167609,0.0004153094,0.0004995523,0.0001173609,0.0001116798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1537687,"threshold_uncertainty_score":0.9996906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276042507293889,"score_gpt":0.409613431915453,"score_spread":0.2820091811860641,"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."}}