{"id":"W2329343225","doi":"10.1111/j.1911-3838.2011.00025.x","title":"Mountain City Transit: Management Control and Performance Measurement","year":2011,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Balanced scorecard; Context (archaeology); Control (management); Transit (satellite); Class (philosophy); Process management; Computer science; Management control system; Operations management; Engineering management; Business; Transport engineering; Public transport; Engineering; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001038108,0.000348814,0.0002782603,0.0003956046,0.0005524153,0.0003597913,0.0003558901,0.00007225701,0.000338814],"category_scores_gemma":[0.00008254891,0.0003370259,0.00007300614,0.0005639159,0.0001442981,0.001740925,0.0001977278,0.0001785594,0.0001902787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129057,"about_ca_system_score_gemma":0.00001423568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004150668,"about_ca_topic_score_gemma":0.00004690904,"domain_scores_codex":[0.9978163,0.00001289057,0.0003487028,0.0006385071,0.0006958495,0.0004877233],"domain_scores_gemma":[0.9988905,0.00001710918,0.0002373442,0.0003124192,0.0005213196,0.00002128271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003232027,0.0005752509,0.774609,0.0007894274,0.0005752906,0.00003410436,0.002903562,0.00005194893,0.000232335,0.204005,0.002142019,0.01375889],"study_design_scores_gemma":[0.001552347,0.00002802687,0.9761429,0.0001217436,0.0002961216,0.000005540712,0.007408298,0.00211312,0.00005010924,0.003189239,0.008430125,0.0006623713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507661,0.0006133908,0.005486134,0.0008499035,0.0003589477,0.0007830641,0.000002581582,0.0005773064,0.1405626],"genre_scores_gemma":[0.996639,0.00007057341,0.0007978107,0.001538944,0.000656424,0.00004514306,0.000004000809,0.00005645848,0.0001916272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2015339,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092661202758688,"score_gpt":0.1856005458410743,"score_spread":0.1646739338134874,"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."}}