{"id":"W2359224595","doi":"","title":"Smart Commute Workplace Program Business Case Review","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th 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":"TRIPS architecture; Liberian dollar; Business; Transport engineering; Business case; Traffic congestion; Finance; Investment (military); Operations management; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01533335,0.0005542901,0.0007700464,0.001408115,0.003625833,0.0003253252,0.001082687,0.0005497356,0.001565649],"category_scores_gemma":[0.001978052,0.0004796617,0.0003069926,0.006812167,0.002446276,0.001891685,0.00001433316,0.001533823,0.0004189842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004408378,"about_ca_system_score_gemma":0.001770249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03178493,"about_ca_topic_score_gemma":0.1130615,"domain_scores_codex":[0.9842813,0.0036516,0.001776605,0.001463489,0.00610294,0.002724088],"domain_scores_gemma":[0.9836249,0.002899921,0.0003848383,0.0009039049,0.0108476,0.001338869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003932378,0.003622913,0.348247,0.008437336,0.0006796285,0.01217292,0.08984309,0.001444835,0.001116564,0.07316588,0.2275326,0.2298049],"study_design_scores_gemma":[0.0036022,0.0007039243,0.2588872,0.007900232,0.0001810323,0.0000120249,0.02092414,0.00005537356,0.0002429744,0.001268938,0.7047645,0.001457454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413613,0.006490864,0.01033597,0.0896589,0.001471812,0.0175794,0.002406772,0.00400237,0.02669254],"genre_scores_gemma":[0.9484678,0.02690386,0.008887074,0.0004795603,0.0005171596,0.002432179,0.001002749,0.000202594,0.01110706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772319,"threshold_uncertainty_score":0.9997655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08287430046476967,"score_gpt":0.4315902153416318,"score_spread":0.3487159148768622,"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."}}