{"id":"W642128041","doi":"","title":"Nobody Said This Was Going to Be Easy: Serving a Quarter-Million Impatient Commuters May Be a 'Can't Win': LIRR Does it Anyway","year":2006,"lang":"en","type":"article","venue":"Trains","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"nobody; Train; Mile; Order (exchange); Quarter (Canadian coin); Track (disk drive); Service (business); Ticket; Business; Telecommunications; Operations management; Finance; Advertising; Engineering; History; Marketing; Computer science; Geography; Computer security; Archaeology","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":[0.0002561288,0.0003188825,0.0003518118,0.0003263849,0.0003163819,0.0003377083,0.0003762592,0.00008682645,0.0004547524],"category_scores_gemma":[0.000008856355,0.0002746728,0.0001740166,0.0003104845,0.00005875787,0.0007617506,0.00008960805,0.0001515661,0.0002493131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009635153,"about_ca_system_score_gemma":0.00002254561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009281807,"about_ca_topic_score_gemma":0.02497567,"domain_scores_codex":[0.998319,0.000009624991,0.0004772203,0.0003654742,0.0001900941,0.0006385754],"domain_scores_gemma":[0.999326,0.0000332063,0.0001695274,0.0003812488,0.0000468243,0.00004318676],"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":[0.0004799806,0.001525702,0.4225307,0.002026776,0.0005242175,0.0001689171,0.05120547,0.004698097,0.01533956,0.04071853,0.4454545,0.01532764],"study_design_scores_gemma":[0.001590728,0.00006940223,0.1285035,0.0002632733,0.0001385516,0.000003917272,0.004510416,0.002922541,0.0003509754,0.0006988104,0.8598478,0.001100138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937215,0.00002135158,0.0001198367,0.02234659,0.0004885129,0.0003502547,0.00005514881,0.0002536507,0.03914961],"genre_scores_gemma":[0.9816728,0.00000583383,0.0001817112,0.01515867,0.0009733253,0.00003530431,0.0001633819,0.00005135599,0.001757675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4143933,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918415025585782,"score_gpt":0.2185534142832637,"score_spread":0.1993692640274059,"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."}}