{"id":"W653698129","doi":"","title":"Investigating Economic Viability of Personal Rapid Transit (PRT) System for a University Campus and Its Surroundings","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Investment (military); Internal rate of return; Abu dhabi; Transport engineering; Transit (satellite); Public transport; Cost–benefit analysis; Revenue; Business; Environmental economics; Environmental science; Engineering; Metropolitan area; Economics; Finance; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.008006249,0.0003157552,0.0005645098,0.0009858736,0.002140452,0.0001920286,0.0004881929,0.0003909631,0.0003032512],"category_scores_gemma":[0.0004603648,0.0003650449,0.0002239557,0.001302246,0.00145491,0.001569929,0.000006248682,0.0007928557,0.00003170998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004642187,"about_ca_system_score_gemma":0.001190479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03792809,"about_ca_topic_score_gemma":0.01799982,"domain_scores_codex":[0.9931726,0.001429871,0.001040713,0.0009808138,0.002106286,0.001269677],"domain_scores_gemma":[0.9921738,0.002307186,0.0003319691,0.00023364,0.004213754,0.0007396347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002203082,0.0007228221,0.3446646,0.008105625,0.0005675411,0.00006092647,0.4058928,0.009560794,0.01575875,0.1974717,0.006469134,0.008522171],"study_design_scores_gemma":[0.005380976,0.001035757,0.635161,0.0009919693,0.0001728497,6.552943e-7,0.3229407,0.008929679,0.003011047,0.001586422,0.01963035,0.001158598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899374,0.0001943149,0.001398087,0.002536816,0.0001689086,0.003265972,0.0009697097,0.000228559,0.001300264],"genre_scores_gemma":[0.9951564,0.0003053308,0.002906536,0.000019401,0.000142822,0.0002121586,0.0004278326,0.00005517355,0.0007743476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904963,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05152418957223117,"score_gpt":0.3414930287721537,"score_spread":0.2899688391999225,"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."}}