{"id":"W6888742788","doi":"10.21949/1527311","title":"Employee Assistance Program for Transit Systems","year":2015,"lang":"en","type":"report","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Glossary; Sample (material); Transit system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00132775,0.0005256527,0.0001924461,0.002048405,0.001554157,0.00188673,0.001056576,0.0006446661,0.1708958],"category_scores_gemma":[0.003434614,0.0003444797,0.0002234462,0.002782211,0.000150371,0.00103294,0.00134072,0.0006938564,0.08657198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002882072,"about_ca_system_score_gemma":0.01933035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09574933,"about_ca_topic_score_gemma":0.1102182,"domain_scores_codex":[0.9981377,0.0001664884,0.00007717821,0.0001278809,0.001221333,0.0002694231],"domain_scores_gemma":[0.9976065,0.0002406889,0.0001013485,0.0001663883,0.001626847,0.0002582205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003401262,0.0001347908,0.001518021,0.0001527461,0.000003362801,0.00003425187,0.0002218307,0.0001726003,0.0003737585,0.003107827,0.8664944,0.1277523],"study_design_scores_gemma":[0.00001600472,0.00003511041,0.007587162,0.0000811248,0.000005000545,0.00004739903,0.0002526995,0.0002026338,0.0005211696,0.0001467665,0.9910959,0.000008920508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01031869,0.001206712,0.004976041,0.002934596,0.000412593,0.001814071,0.1074468,0.008434443,0.862456],"genre_scores_gemma":[0.02272103,0.001171803,0.007506378,0.0005195524,0.00006968153,0.0009070979,0.0697165,0.0006284618,0.8967593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1708958,"threshold_uncertainty_score":0.5717034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09537430244129505,"score_gpt":0.365607800314847,"score_spread":0.2702334978735519,"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."}}