{"id":"W4206458896","doi":"10.1109/ieem50564.2021.9672801","title":"Do Listed Ocean Tanker Companies Have Operational Skill? Empirical Evidence from Fleet and Voyage Data","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Earnings; Empirical evidence; Quarter (Canadian coin); Fleet management; Business; Econometrics; Operations research; Computer science; Finance; Transport engineering; Economics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001497981,0.0002705934,0.000318322,0.001694838,0.000225635,0.001114009,0.0005290282,0.0005208652,0.002686585],"category_scores_gemma":[0.01080717,0.0002119369,0.0004039821,0.003063271,0.0004484964,0.001292231,0.0006700736,0.0005199252,0.0005264565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273505,"about_ca_system_score_gemma":0.0003730824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390715,"about_ca_topic_score_gemma":0.03215078,"domain_scores_codex":[0.9992523,0.000138828,0.0001079524,0.0001710191,0.0001951653,0.0001348323],"domain_scores_gemma":[0.9684615,0.01182954,0.01619125,0.0009358854,0.001398527,0.001183351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001636281,0.00001366377,0.9984211,0.00000507576,0.00003817207,0.00003429912,0.00007016184,0.0002599074,0.00005068279,0.00004126971,0.0001013933,0.0009480467],"study_design_scores_gemma":[0.000002859726,0.00001824654,0.997972,0.000006269527,0.00001498934,0.0000275472,0.0002681458,0.00138005,0.00004766429,0.00005778556,0.0002004043,0.000003938331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985056,0.00008813603,0.0001388962,0.00009251793,0.000001524755,0.0000023105,0.0007368639,0.000003950988,0.0004303041],"genre_scores_gemma":[0.9980008,0.00008168251,0.00007091166,0.00001498281,0.000006912661,0.000002079026,0.001611205,0.000002304105,0.0002091792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02390715,"threshold_uncertainty_score":0.04753602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889742190851286,"score_gpt":0.3058954563552773,"score_spread":0.1169212372701487,"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."}}