{"id":"W3008698398","doi":"10.6000/1929-7092.2020.09.13","title":"Crewing of Sea Vessels Taking into Account Project Risks and Technical Condition of Ship Equipment","year":2020,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic and Business Development Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine engineering; Risk analysis (engineering); Business; Forensic engineering; Environmental science; Operations management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059762,0.000189313,0.001163005,0.0001275506,0.00003944751,0.00005399215,0.0002751363,0.0001073492,0.00006559688],"category_scores_gemma":[0.0002469225,0.0001867359,0.0002144609,0.0001527433,0.00009328704,0.0004617304,0.00008120483,0.0001668379,0.00001913335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575677,"about_ca_system_score_gemma":0.0001205041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005493512,"about_ca_topic_score_gemma":0.000009201004,"domain_scores_codex":[0.9974228,0.00002425022,0.002113087,0.0002421104,0.00003174864,0.0001660653],"domain_scores_gemma":[0.995758,0.00004835019,0.00390253,0.0001449364,0.00006303266,0.00008316006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000726914,0.0004984071,0.4726001,0.003845049,0.000745816,0.0000210526,0.001334137,0.00161955,0.0002160231,0.4351867,0.006240965,0.07696526],"study_design_scores_gemma":[0.007325433,0.003219573,0.4696155,0.003850422,0.0003252319,0.0003369743,0.001245676,0.003061827,0.001512646,0.1254965,0.381668,0.002342218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742013,0.01533172,0.001175535,0.001047946,0.0003530796,0.0003982414,0.0001184196,0.000007735377,0.007366091],"genre_scores_gemma":[0.9728981,0.02239925,0.004099103,0.000457353,0.000119918,0.000005165151,0.000006353585,0.00001138428,0.00000340618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3754271,"threshold_uncertainty_score":0.7614869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754277716106368,"score_gpt":0.3304965097277316,"score_spread":0.1550687381170948,"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."}}